Title: Colour Schemes for Scientific Data Visualization
Version: 1.16.0
Description: Color schemes ready for each type of data (qualitative, diverging or sequential), with colors that are distinct for all people, including color-blind readers. This package provides an implementation of Paul Tol (2018) and Fabio Crameri (2018) <doi:10.5194/gmd-11-2541-2018> color schemes for use with 'graphics' or 'ggplot2'. It provides tools to simulate color-blindness and to test how well the colors of any palette are identifiable. Several scientific thematic schemes (geologic timescale, land cover, FAO soils, etc.) are also implemented.
License: GPL (≥ 3)
URL: https://codeberg.org/tesselle/khroma, https://packages.tesselle.org/khroma/
BugReports: https://codeberg.org/tesselle/khroma/issues
Depends: R (≥ 3.5.0)
Imports: graphics, grDevices, grid, stats, utils
Suggests: ggplot2, ggraph, knitr, markdown, rsvg, scales, spacesXYZ, svglite, tinysnapshot, tinytest
VignetteBuilder: knitr
Encoding: UTF-8
RoxygenNote: 7.3.2
X-schema.org-isPartOf: https://www.tesselle.org
X-schema.org-keywords: data-visualization, colour-schemes, accessibility, r-package
Collate: 'change.R' 'color.R' 'compare.R' 'info.R' 'khroma-defunct.R' 'khroma-deprecated.R' 'khroma-internal.R' 'khroma-package.R' 'palettes.R' 'plot.R' 'plot_map.R' 'plot_scheme.R' 'plot_scheme_colorblind.R' 'plot_tiles.R' 'print.R' 'scale_colour_crameri.R' 'scale_colour_okabeito.R' 'scale_colour_picker.R' 'scale_colour_science.R' 'scale_colour_tol.R'
NeedsCompilation: no
Packaged: 2025-02-25 17:08:27 UTC; nicolas
Author: Nicolas Frerebeau ORCID iD [aut, cre], Brice Lebrun ORCID iD [art] (Logo designer), Vincent Arel-Bundock ORCID iD [ctb], Ulrik Stervbo ORCID iD [ctb], Université Bordeaux Montaigne ROR ID [fnd], CNRS ROR ID [fnd]
Maintainer: Nicolas Frerebeau <nicolas.frerebeau@u-bordeaux-montaigne.fr>
Repository: CRAN
Date/Publication: 2025-02-25 17:40:05 UTC

khroma: Colour Schemes for Scientific Data Visualization

Description

logo

Color schemes ready for each type of data (qualitative, diverging or sequential), with colors that are distinct for all people, including color-blind readers. This package provides an implementation of Paul Tol (2018) and Fabio Crameri (2018) doi:10.5194/gmd-11-2541-2018 color schemes for use with 'graphics' or 'ggplot2'. It provides tools to simulate color-blindness and to test how well the colors of any palette are identifiable. Several scientific thematic schemes (geologic timescale, land cover, FAO soils, etc.) are also implemented.

Details

Package: khroma
Type: Package
Version: 1.15.0
License: GPL-3
Zenodo: doi:10.5281/zenodo.1472077

Author(s)

Full list of authors and contributors (alphabetic order)

Vincent Arel-Bundock Université de Montréal, Canada
Nicolas Frerebeau Université Bordeaux Montaigne, France
Brice Lebrun Université Bordeaux Montaigne, France
Ulrik Stervbo Ruhr-Universität Bochum

Package maintainer

Nicolas Frerebeau
nicolas.frerebeau@u-bordeaux-montaigne.fr

Archéosciences Bordeaux (UMR 6034)
Maison de l'Archéologie
Université Bordeaux Montaigne
F-33607 Pessac cedex
France

See Also

Useful links:

Simulate Color-Blindness

Description

Simulate Color-Blindness

Usage

change(x, mode)

Arguments

x

A palette function that when called with a single integer argument (the number of levels) returns a vector of colors (see color()).

mode

A character string giving the colorblind vision to be used. It must be one of "deuteranopia", "protanopia", "tritanopia" or "achromatopsia". Any unambiguous substring can be given.

Value

A palette function that returns a vector of anomalized colors. All the attributes of the initial palette function are inherited, with a supplementary attribute "mode" giving the corresponding color-blind vision.

Author(s)

N. Frerebeau

References

Brettel, H., Viénot, F. and Mollon, J. D. (1997). Computerized Simulation of Color Appearance for Dichromats. Journal of the Optical Society of America A, 14(10), p. 2647-2655. doi:10.1364/JOSAA.14.002647.

Tol, P. (2018). Colour Schemes. SRON. Technical Note No. SRON/EPS/TN/09-002, issue 3.1. URL: https://personal.sron.nl/~pault/data/colourschemes.pdf

Viénot, F., Brettel, H. and Mollon, J. D. (1999). Digital Video Colourmaps for Checking the Legibility of Displays by Dichromats. Color Research & Application, 24(4), p. 243-52. doi:10.1002/(SICI)1520-6378(199908)24:4<243::AID-COL5>3.0.CO;2-3.

See Also

Other diagnostic tools: compare(), plot.color_scheme(), plot_map(), plot_scheme(), plot_scheme_colourblind(), plot_tiles()

Examples

if (requireNamespace("spacesXYZ", quietly = TRUE)) {
  ## Trichromat
  pal <- colour("bright")
  plot_scheme(pal(7))

  ## Deuteranopia
  deu <- change(pal, mode = "deuteranopia")
  plot_scheme(deu(7))

  ## Protanopia
  pro <- change(pal, mode = "protanopia")
  plot_scheme(pro(7))

  ## Tritanopia
  tri <- change(pal, mode = "tritanopia")
  plot_scheme(tri(7))

  ## Achromatopsia
  ach <- change(pal, mode = "achromatopsia")
  plot_scheme(ach(7))

  ## Plot simulated color blindness
  plot_scheme_colorblind(pal(7))
}

Color Schemes

Description

Provides qualitative, diverging and sequential color schemes.

Usage

colour(
  palette,
  reverse = FALSE,
  names = FALSE,
  lang = "en",
  force = FALSE,
  ...
)

color(palette, reverse = FALSE, names = FALSE, lang = "en", force = FALSE, ...)

Arguments

palette

A character string giving the name of the scheme to be used (see info()).

reverse

A logical scalar: should the resulting vector of colors should be reversed?

names

A logical scalar: should the names of the colors should be kept in the resulting vector?

lang

A character string specifying the language for the color names. It must be one of "en" (English, the default) or "fr" (French).

force

A logical scalar. If TRUE, forces the color scheme to be interpolated. It should not be used routinely with qualitative color schemes, as they are designed to be used as is to remain color-blind safe.

...

Further arguments passed to colorRampPalette.

Value

A function function with the following attributes, that when called with a single argument (an integer specifying the number of colors) returns a (named) vector of colors.

palette

A character string giving the name of the color scheme.

type

A character string giving the corresponding data type. One of "qualitative", "diverging" or "sequential".

interpolate

A logical scalar: can the color palette be interpolated?

missing

A character string giving the the hexadecimal representation of the color that should be used for NA values.

max

An integer giving the maximum number of color values. Only relevant for non-interpolated color schemes.

For color schemes that can be interpolated (diverging and sequential data), the color range can be limited with an additional argument. range allows to remove a fraction of the color domain (before being interpolated; see examples).

Author(s)

N. Frerebeau

References

Crameri, F. (2018). Geodynamic diagnostics, scientific visualisation and StagLab 3.0. Geosci. Model Dev., 11, 2541-2562. doi:10.5194/gmd-11-2541-2018

Crameri, F., Shephard, G. E. & Heron, P. J. (2020). The misuse of colour in science communication. Nature Communications, 11, 5444. doi:10.1038/s41467-020-19160-7

Jones, A., Montanarella, L. & Jones, R. (Ed.) (2005). Soil atlas of Europe. Luxembourg: European Commission, Office for Official Publications of the European Communities. 128 pp. ISBN: 92-894-8120-X.

Okabe, M. & Ito, K. (2008). Color Universal Design (CUD): How to Make Figures and Presentations That Are Friendly to Colorblind People. URL: https://jfly.uni-koeln.de/color/.

Tol, P. (2021). Colour Schemes. SRON. Technical Note No. SRON/EPS/TN/09-002, issue 3.2. URL: https://personal.sron.nl/~pault/data/colourschemes.pdf

Commission for the Geological Map of the World

See Also

Other color schemes: info()

Examples

## Okabe and Ito colour scheme
colour("okabe ito")(8)
plot_scheme(colour("okabe ito")(8))

## Paul Tol's colour schemes
### Qualitative data
plot_scheme(colour("bright")(7))
plot_scheme(colour("high contrast")(3))
plot_scheme(colour("vibrant")(7))
plot_scheme(colour("muted")(9))
plot_scheme(colour("medium contrast")(6))
plot_scheme(colour("pale")(6))
plot_scheme(colour("dark")(6))
plot_scheme(colour("light")(9))
### Diverging data
plot_scheme(colour("sunset")(11))
plot_scheme(colour("BuRd")(9))
plot_scheme(colour("PRGn")(9))
### Sequential data
plot_scheme(colour("YlOrBr")(9))
plot_scheme(colour("iridescent")(23))
plot_scheme(colour("discrete rainbow")(14))
plot_scheme(colour("discrete rainbow")(23))
plot_scheme(colour("smooth rainbow")(34))

## Scientific colour schemes
### Geologic timescale
plot_scheme(colour("stratigraphy")(175))
### AVHRR global land cover classification
plot_scheme(colour("land")(14))
### FAO soil reference groups
plot_scheme(colour("soil")(24))

## Adjust colour levels
PRGn <- colour("PRGn")
plot_scheme(PRGn(9, range = c(0.5, 1)))

Color Difference

Description

Computes CIELAB distance metric.

Usage

compare(x, metric = 2000, diag = FALSE, upper = FALSE)

Arguments

x

A character vector of colors.

metric

An integer value giving the year the metric was recommended by the CIE. It must be one of "1976", "1994", or "2000" (default; see spacesXYZ::DeltaE()).

diag

A logical scalar: should the diagonal of the distance matrix be printed?

upper

A logical scalar: should the upper triangle of the distance matrix should be printed?

Value

A distance matrix.

Author(s)

N. Frerebeau

See Also

Other diagnostic tools: change(), plot.color_scheme(), plot_map(), plot_scheme(), plot_scheme_colourblind(), plot_tiles()

Examples

if (requireNamespace("spacesXYZ", quietly = TRUE)) {
  ## Trichromat
  pal <- colour("bright")
  compare(pal(5))

  ## Deuteranopia
  deu <- change(pal, mode = "deuteranopia")
  compare(deu(5))

  ## Protanopia
  pro <- change(pal, mode = "protanopia")
  compare(pro(5))

  ## Tritanopia
  tri <- change(pal, mode = "tritanopia")
  compare(tri(5))

  ## Achromatopsia
  ach <- change(pal, mode = "achromatopsia")
  compare(ach(5))
}

Fabio Crameri's Color Schemes

Description

Fabio Crameri's Color Schemes

Diverging Color Schemes

If more colors than defined are needed from a given scheme, the color coordinates are linearly interpolated to provide a continuous version of the scheme.

Palette Max.
broc 256
cork 256
vik 256
lisbon 256
tofino 256
berlin 256
roma 256
bam 256
vanimo 256
brocO* 256
corkO* 256
vikO* 256
romaO* 256
bamO* 256

*: cyclic color schemes.

Sequential Color Schemes

If more colors than defined are needed from a given scheme, the color coordinates are linearly interpolated to provide a continuous version of the scheme.

Palette Max.
batlow 256
batlowW 256
batlowK 256
devon 256
lajolla 256
bamako 256
davos 256
bilbao 256
nuuk 256
oslo 256
grayC 256
hawaii 256
lapaz 256
tokyo 256
buda 256
acton 256
turku 256
imola 256
oleron* 256
bukavu* 256
fes* 256

*: multisequential color schemes.

Source

Crameri, F. (2021). Scientific colour maps. Zenodo, v7.0. doi:10.5281/zenodo.4491293

References

Crameri, F. (2018). Geodynamic diagnostics, scientific visualisation and StagLab 3.0. Geosci. Model Dev., 11, 2541-2562. doi:10.5194/gmd-11-2541-2018

Crameri, F., Shephard, G. E. & Heron, P. J. (2020). The misuse of colour in science communication. Nature Communications, 11, 5444. doi:10.1038/s41467-020-19160-7

Available Schemes

Description

Returns information about the available schemes.

Usage

info()

Value

A data.frame with the following columns:

palette

Names of palette.

type

Types of schemes: sequential, diverging or qualitative.

max

Maximum number of colors that are contained in each palette. Only relevant for qualitative schemes.

missing

The hexadecimal color value for mapping missing values.

Author(s)

N. Frerebeau

See Also

Other color schemes: colour()

Examples

## Get a table of available palettes
info()

Defunct Functions in khroma

Description

These functions are defunct and have been replaced.

Arguments

...

Not used.

Deprecated Functions in dimensio

Description

These functions still work but will be removed (defunct) in the next version.

Usage

palette_size_range(range = c(1, 6), ...)

Color Mapping (continuous)

Description

Maps continuous values to an interpolated colors gradient.

Usage

palette_color_continuous(
  colors = NULL,
  domain = NULL,
  midpoint = NULL,
  missing = "#DDDDDD"
)

palette_colour_continuous(
  colors = NULL,
  domain = NULL,
  midpoint = NULL,
  missing = "#DDDDDD"
)

Arguments

colors

A vector of colors or a function that when called with a single argument (an integer specifying the number of colors) returns a vector of colors. If NULL (the default), uses YlOrRd.

domain

A numeric range specifying the possible values that can be mapped.

midpoint

A length-one numeric vector specifying the mid-point of input range.

missing

The color to return for NA values.

Value

A palette function that when called with a single argument (a numeric vector of continuous values) returns a character vector of colors.

See Also

grDevices::colorRamp()

Other palettes: palette_color_discrete(), palette_color_picker(), palette_shape(), palette_size

Examples

## Visualize a simple DEM model
## Distribution of elevation values
elevation <- hist(volcano)

## Where are breaks?
elevation$breaks

## Build palette functions
BuRd <- color("BuRd")
ramp_BuRd <- palette_color_continuous(colors = BuRd(10))

## Plot image
image(volcano, col = ramp_BuRd(elevation$breaks))
legend("topright", legend = elevation$breaks, fill = ramp_BuRd(elevation$breaks))

## Scatter plot
## Build color palette functions
YlOrBr <- color("YlOrBr")
pal_color <- palette_color_continuous(colors = YlOrBr)

## Build symbol palette functions
pal_size <- palette_size_sequential(range = c(1, 3))

## Plot
plot(
  x = iris$Petal.Length,
  y = iris$Sepal.Length,
  pch = 16,
  col = pal_color(iris$Petal.Length),
  cex = pal_size(iris$Petal.Length),
  xlab = "Petal length",
  ylab = "Sepal length",
  panel.first = grid(),
  las = 1
)

Color Mapping (discrete)

Description

Maps categorical values to colors.

Usage

palette_color_discrete(
  colors = NULL,
  domain = NULL,
  ordered = FALSE,
  missing = "#DDDDDD"
)

palette_colour_discrete(
  colors = NULL,
  domain = NULL,
  ordered = FALSE,
  missing = "#DDDDDD"
)

Arguments

colors

A vector of colors or a function that when called with a single argument (an integer specifying the number of colors) returns a vector of colors. If NULL (the default), uses discrete rainbow.

domain

A vector of categorical data specifying the possible values that can be mapped.

ordered

A logical scalar: should the levels be treated as already in the correct order?

missing

The color to return for NA values.

Value

A palette function that when called with a single argument (a vector of categorical values) returns a character vector of colors.

See Also

Other palettes: palette_color_continuous(), palette_color_picker(), palette_shape(), palette_size

Examples

## Scatter plot
## Build color palette functions
bright <- c(versicolor = "#4477AA", virginica = "#EE6677", setosa = "#228833")
pal_color <- palette_color_discrete(colors = bright)

## Build symbol palette functions
symbols <- c(versicolor = 15, virginica = 16, setosa = 17)
pal_shapes <- palette_shape(symbols)

## Plot
plot(
  x = iris$Petal.Length,
  y = iris$Sepal.Length,
  pch = pal_shapes(iris$Species),
  col = pal_color(iris$Species),
  xlab = "Petal length",
  ylab = "Sepal length",
  panel.first = grid(),
  las = 1
)
legend("topleft", legend = names(bright), col = bright, pch = symbols)

Color Mapping

Description

Maps values to colors.

Usage

palette_color_picker(
  scheme,
  domain = NULL,
  midpoint = NULL,
  ordered = FALSE,
  missing = NULL,
  ...
)

palette_colour_picker(
  scheme,
  domain = NULL,
  midpoint = NULL,
  ordered = FALSE,
  missing = NULL,
  ...
)

Arguments

scheme

A character string giving the name of the scheme to be used (see color()).

domain

A numeric range or a vector of categorical data specifying the possible values that can be mapped.

midpoint

A length-one numeric vector specifying the mid-point of input range.

ordered

A logical scalar: should the levels be treated as already in the correct order?

missing

The color to return for NA values.

...

Further parameters to be passed to color().

Details

A wrapper around palette_color_continuous() and palette_color_discrete().

Value

A palette function that when called with a single argument returns a character vector of colors.

See Also

Other palettes: palette_color_continuous(), palette_color_discrete(), palette_shape(), palette_size

Examples

## Visualize a simple DEM model
## Distribution of elevation values
elevation <- hist(volcano)

## Where are breaks?
elevation$breaks

## Build palette functions
ramp_BuRd <- palette_color_picker("BuRd")

(col <- ramp_BuRd(elevation$breaks))
image(volcano, col = col)
legend("topright", legend = elevation$breaks, fill = col)

## Rescale to midpoint
ramp_BuRd <- palette_color_picker("BuRd", midpoint = 160)

(col <- ramp_BuRd(elevation$breaks))
image(volcano, col = col)
legend("topright", legend = elevation$breaks, fill = col)

Symbol Mapping

Description

Symbol Mapping

Usage

palette_shape(symbols = NULL, domain = NULL, ordered = FALSE, ...)

palette_line(types = NULL, domain = NULL, ordered = FALSE, ...)

Arguments

symbols, types

A vector of symbols or line types.

domain

A vector of categorical data specifying the possible values that can be mapped.

ordered

A logical scalar: should the levels be treated as already in the correct order?

...

Currently not used.

Value

A palette function that when called with a single argument (a character vector of categorical values) returns a vector of symbols.

See Also

Other palettes: palette_color_continuous(), palette_color_discrete(), palette_color_picker(), palette_size

Examples

## Scatter plot
## Build color palette functions
bright <- c(versicolor = "#4477AA", virginica = "#EE6677", setosa = "#228833")
pal_color <- palette_color_discrete(colors = bright)

## Build symbol palette functions
symbols <- c(versicolor = 15, virginica = 16, setosa = 17)
pal_shapes <- palette_shape(symbols)

## Plot
plot(
  x = iris$Petal.Length,
  y = iris$Sepal.Length,
  pch = pal_shapes(iris$Species),
  col = pal_color(iris$Species),
  xlab = "Petal length",
  ylab = "Sepal length",
  panel.first = grid(),
  las = 1
)
legend("topleft", legend = names(bright), col = bright, pch = symbols)

Symbol Size Mapping

Description

Symbol Size Mapping

Usage

palette_size_sequential(range = c(1, 6), ...)

palette_size_diverging(range = c(1, 6), midpoint = 0, ...)

Arguments

range

A length-two numeric vector giving range of possible sizes (greater than 0).

...

Currently not used.

midpoint

A length-one numeric vector specifying the data mid-point.

Value

A palette function that when called with a single argument (a numeric vector of continuous values) returns a numeric vector giving the amount by which plotting text and symbols should be magnified relative to the default.

See Also

Other palettes: palette_color_continuous(), palette_color_discrete(), palette_color_picker(), palette_shape()

Examples

## Visualize a simple DEM model
## Distribution of elevation values
elevation <- hist(volcano)

## Where are breaks?
elevation$breaks

## Build palette functions
BuRd <- color("BuRd")
ramp_BuRd <- palette_color_continuous(colors = BuRd(10))

## Plot image
image(volcano, col = ramp_BuRd(elevation$breaks))
legend("topright", legend = elevation$breaks, fill = ramp_BuRd(elevation$breaks))

## Scatter plot
## Build color palette functions
YlOrBr <- color("YlOrBr")
pal_color <- palette_color_continuous(colors = YlOrBr)

## Build symbol palette functions
pal_size <- palette_size_sequential(range = c(1, 3))

## Plot
plot(
  x = iris$Petal.Length,
  y = iris$Sepal.Length,
  pch = 16,
  col = pal_color(iris$Petal.Length),
  cex = pal_size(iris$Petal.Length),
  xlab = "Petal length",
  ylab = "Sepal length",
  panel.first = grid(),
  las = 1
)

Plot Color Scheme

Description

Quickly displays a color scheme returned by color().

Usage

## S3 method for class 'color_scheme'
plot(x, ...)

Arguments

x

A character vector of colors.

...

Currently not used.

Value

plot() is called for its side-effects: it results in a graphic being displayed (invisibly returns x).

Author(s)

N. Frerebeau

See Also

Other diagnostic tools: change(), compare(), plot_map(), plot_scheme(), plot_scheme_colourblind(), plot_tiles()

Examples

plot(colour("bright")(7))
plot(colour("smooth rainbow")(256))

## Plot colour schemes
plot_scheme(colour("bright")(7))
plot_scheme(colour("sunset")(11))
plot_scheme(colour("YlOrBr")(9))
plot_scheme(colour("discrete rainbow")(14))

## Plot diagnostic maps
plot_map(colour("bright")(7))
plot_map(colour("sunset")(11))
plot_map(colour("YlOrBr")(9))
plot_map(colour("discrete rainbow")(14))

## Plot diagnostic images
plot_tiles(colour("discrete rainbow")(14), n = 256)
plot_tiles(colour("discrete rainbow")(23), n = 256)
plot_tiles(colour("smooth rainbow")(256), n = 256)

Diagnostic Map

Description

Produces a diagnostic map for a given color scheme.

Usage

plot_map(x)

Arguments

x

A character vector of colors.

Value

plot_map() is called for its side-effects: it results in a graphic being displayed (invisibly returns x).

Author(s)

N. Frerebeau, V. Arel-Bundock

See Also

Other diagnostic tools: change(), compare(), plot.color_scheme(), plot_scheme(), plot_scheme_colourblind(), plot_tiles()

Examples

plot(colour("bright")(7))
plot(colour("smooth rainbow")(256))

## Plot colour schemes
plot_scheme(colour("bright")(7))
plot_scheme(colour("sunset")(11))
plot_scheme(colour("YlOrBr")(9))
plot_scheme(colour("discrete rainbow")(14))

## Plot diagnostic maps
plot_map(colour("bright")(7))
plot_map(colour("sunset")(11))
plot_map(colour("YlOrBr")(9))
plot_map(colour("discrete rainbow")(14))

## Plot diagnostic images
plot_tiles(colour("discrete rainbow")(14), n = 256)
plot_tiles(colour("discrete rainbow")(23), n = 256)
plot_tiles(colour("smooth rainbow")(256), n = 256)

Plot Color Scheme

Description

Shows colors in a plot.

Usage

plot_scheme(x, colours = FALSE, names = FALSE, size = 1)

Arguments

x

A character vector of colors.

colours

A logical scalar: should the hexadecimal representation of the colors be displayed?

names

A logical scalar: should the name of the colors be displayed?

size

A numeric value giving the amount by which plotting text should be magnified relative to the default. Works the same as cex parameter of graphics::par().

Value

plot_scheme() is called for its side-effects: it results in a graphic being displayed (invisibly returns x).

Author(s)

N. Frerebeau

See Also

Other diagnostic tools: change(), compare(), plot.color_scheme(), plot_map(), plot_scheme_colourblind(), plot_tiles()

Examples

plot(colour("bright")(7))
plot(colour("smooth rainbow")(256))

## Plot colour schemes
plot_scheme(colour("bright")(7))
plot_scheme(colour("sunset")(11))
plot_scheme(colour("YlOrBr")(9))
plot_scheme(colour("discrete rainbow")(14))

## Plot diagnostic maps
plot_map(colour("bright")(7))
plot_map(colour("sunset")(11))
plot_map(colour("YlOrBr")(9))
plot_map(colour("discrete rainbow")(14))

## Plot diagnostic images
plot_tiles(colour("discrete rainbow")(14), n = 256)
plot_tiles(colour("discrete rainbow")(23), n = 256)
plot_tiles(colour("smooth rainbow")(256), n = 256)

Plot Simulated Color Blindness

Description

Shows colors in a plot with different types of simulated color blindness.

Usage

plot_scheme_colourblind(x)

plot_scheme_colorblind(x)

Arguments

x

A character vector of colors.

Value

plot_scheme_colourblind() is called for its side-effects: it results in a graphic being displayed (invisibly returns x).

Author(s)

N. Frerebeau, V. Arel-Bundock

See Also

Other diagnostic tools: change(), compare(), plot.color_scheme(), plot_map(), plot_scheme(), plot_tiles()

Examples

if (requireNamespace("spacesXYZ", quietly = TRUE)) {
  ## Trichromat
  pal <- colour("bright")
  plot_scheme(pal(7))

  ## Deuteranopia
  deu <- change(pal, mode = "deuteranopia")
  plot_scheme(deu(7))

  ## Protanopia
  pro <- change(pal, mode = "protanopia")
  plot_scheme(pro(7))

  ## Tritanopia
  tri <- change(pal, mode = "tritanopia")
  plot_scheme(tri(7))

  ## Achromatopsia
  ach <- change(pal, mode = "achromatopsia")
  plot_scheme(ach(7))

  ## Plot simulated color blindness
  plot_scheme_colorblind(pal(7))
}

Diagnostic Map

Description

Produces a diagnostic map for a given color scheme.

Usage

plot_tiles(x, n = 512)

Arguments

x

A character vector of colors.

n

An integer specifying the size of the grid (defaults to 512).

Value

plot_tiles() is called for its side-effects: it results in a graphic being displayed (invisibly returns x).

Author(s)

N. Frerebeau

See Also

Other diagnostic tools: change(), compare(), plot.color_scheme(), plot_map(), plot_scheme(), plot_scheme_colourblind()

Examples

plot(colour("bright")(7))
plot(colour("smooth rainbow")(256))

## Plot colour schemes
plot_scheme(colour("bright")(7))
plot_scheme(colour("sunset")(11))
plot_scheme(colour("YlOrBr")(9))
plot_scheme(colour("discrete rainbow")(14))

## Plot diagnostic maps
plot_map(colour("bright")(7))
plot_map(colour("sunset")(11))
plot_map(colour("YlOrBr")(9))
plot_map(colour("discrete rainbow")(14))

## Plot diagnostic images
plot_tiles(colour("discrete rainbow")(14), n = 256)
plot_tiles(colour("discrete rainbow")(23), n = 256)
plot_tiles(colour("smooth rainbow")(256), n = 256)

AVHRR Global Land Cover Classification Color Scheme for ggplot2 and ggraph

Description

Provides the AVHRR Global Land Cover classification as modified by Paul Tol (colorblind safe).

Usage

scale_colour_land(..., lang = "en", aesthetics = "colour")

scale_color_land(..., lang = "en", aesthetics = "colour")

scale_fill_land(..., lang = "en", aesthetics = "fill")

scale_edge_colour_land(..., lang = "en")

scale_edge_color_land(..., lang = "en")

scale_edge_fill_land(..., lang = "en")

Arguments

...

Arguments passed on to ggplot2::discrete_scale().

lang

A character string specifying the language for the color names (see details). It must be one of "en" (english, the default), "fr" (french) or NULL. If not NULL, the values will be matched based on the color names.

aesthetics

A character string or vector of character strings listing the name(s) of the aesthetic(s) that this scale works with.

Details

Values will be matched based on the land classification names.

Value

A discrete scale.

Author(s)

N. Frerebeau

References

Tol, P. (2018). Colour Schemes. SRON. Technical Note No. SRON/EPS/TN/09-002, issue 3.1. URL: https://personal.sron.nl/~pault/data/colourschemes.pdf

See Also

Other themed color schemes: scale_colour_soil(), scale_colour_stratigraphy()

Other qualitative color schemes: scale_colour_soil(), scale_colour_stratigraphy(), scale_okabeito_discrete, scale_tol_bright, scale_tol_dark, scale_tol_discreterainbow, scale_tol_highcontrast, scale_tol_light, scale_tol_mediumcontrast, scale_tol_muted, scale_tol_pale, scale_tol_vibrant

Examples

library(ggplot2)

land <- data.frame(
  name = c(
    "water", "evergreen needleleaf forest", "deciduous needleleaf forest",
    "mixed forest", "evergreen broadleaf forest", "deciduous broadleaf forest",
    "woodland", "wooded grassland", "grassland", "cropland", "closed shrubland",
    "open shrubland", "bare ground", "urban and built"
  )
)

ggplot2::ggplot(land) +
  ggplot2::geom_rect(ggplot2::aes(xmin = rep(0, 14), xmax = rep(1, 14),
                                  ymin = 1:14, ymax = 1:14+1, fill = name)) +
  ggplot2::scale_y_reverse() +
  scale_fill_land(name = "land")

FAO Soil Reference Groups Color Scheme for ggplot2 and ggraph

Description

Provides the FAO Soil Reference Groups color scheme.

Usage

scale_colour_soil(..., lang = "en", aesthetics = "colour")

scale_color_soil(..., lang = "en", aesthetics = "colour")

scale_fill_soil(..., lang = "en", aesthetics = "fill")

scale_edge_colour_soil(..., lang = "en")

scale_edge_color_soil(..., lang = "en")

scale_edge_fill_soil(..., lang = "en")

Arguments

...

Arguments passed on to ggplot2::discrete_scale().

lang

A character string specifying the language for the color names (see details). It must be one of "en" (english, the default), "fr" (french) or NULL. If not NULL, the values will be matched based on the color names.

aesthetics

A character string or vector of character strings listing the name(s) of the aesthetic(s) that this scale works with.

Details

Values will be matched based on the soil names.

Value

A discrete scale.

Author(s)

N. Frerebeau

References

Jones, A., Montanarella, L. & Jones, R. (Ed.) (2005). Soil atlas of Europe. Luxembourg: European Commission, Office for Official Publications of the European Communities. 128 pp. ISBN: 92-894-8120-X.

See Also

Other themed color schemes: scale_colour_land(), scale_colour_stratigraphy()

Other qualitative color schemes: scale_colour_land(), scale_colour_stratigraphy(), scale_okabeito_discrete, scale_tol_bright, scale_tol_dark, scale_tol_discreterainbow, scale_tol_highcontrast, scale_tol_light, scale_tol_mediumcontrast, scale_tol_muted, scale_tol_pale, scale_tol_vibrant

Examples

library(ggplot2)

soil <- data.frame(
  name = c(
    "Acrisol", "Albeluvisol", "Andosol", "Anthrosol", "Arenosol", "Calcisol",
    "Cambisol", "Chernozem", "Cryosol", "Fluvisol", "Kastanozem", "Gleysol",
    "Gypsisol", "Histosol", "Leptosol", "Luvisol", "Phaeozem", "Planosol",
    "Podzol", "Regosol", "Solonchak", "Solonetz", "Umbrisol", "Vertisol"
  )
)

ggplot2::ggplot(soil) +
  ggplot2::geom_rect(ggplot2::aes(xmin = rep(0, 24), xmax = rep(1, 24),
                                  ymin = 1:24, ymax = 1:24+1, fill = name)) +
  ggplot2::scale_y_reverse() +
  scale_fill_soil(name = "Soil")

Geologic Timescale Color Scheme for ggplot2 and ggraph

Description

Provides the geologic timescale color scheme.

Usage

scale_colour_stratigraphy(..., lang = "en", aesthetics = "colour")

scale_color_stratigraphy(..., lang = "en", aesthetics = "colour")

scale_fill_stratigraphy(..., lang = "en", aesthetics = "fill")

scale_edge_colour_stratigraphy(..., lang = "en")

scale_edge_color_stratigraphy(..., lang = "en")

scale_edge_fill_stratigraphy(..., lang = "en")

Arguments

...

Arguments passed on to ggplot2::discrete_scale().

lang

A character string specifying the language for the color names (see details). It must be one of "en" (english, the default), "fr" (french) or NULL. If not NULL, the values will be matched based on the color names.

aesthetics

A character string or vector of character strings listing the name(s) of the aesthetic(s) that this scale works with.

Details

Values will be matched based on the geological unit names.

Value

A discrete scale.

Author(s)

N. Frerebeau

References

Commission for the Geological Map of the World.

See Also

Other themed color schemes: scale_colour_land(), scale_colour_soil()

Other qualitative color schemes: scale_colour_land(), scale_colour_soil(), scale_okabeito_discrete, scale_tol_bright, scale_tol_dark, scale_tol_discreterainbow, scale_tol_highcontrast, scale_tol_light, scale_tol_mediumcontrast, scale_tol_muted, scale_tol_pale, scale_tol_vibrant

Examples

library(ggplot2)

strati <- data.frame(
  name = c("Phanerozoic", "Paleozoic", "Cambrian", "Ordovician", "Silurian",
           "Devonian", "Carboniferous", "Mesozoic", "Triassic", "Cretaceous",
           "Jurassic", "Cenozoic", "Paleogene", "Neogene", "Quaternary"),
  type = c("Eon", "Era", "Period", "Period", "Period", "Period", "Period",
           "Era", "Period", "Period", "Period", "Era", "Period", "Period",
           "Period"),
  start = c(541, 541, 541, 485, 444, 419, 359,
            252, 252, 201, 145, 66, 66, 23, 2.6),
  end = c(0, 252, 485, 444, 419, 359, 252,
          66, 201, 145, 66, 2.6, 23, 2.6, 0)
)

## Keep chronological order in the legend
strati$name <- factor(strati$name, levels = rev(unique(strati$name)),
                      ordered = TRUE)

## Workaround: use `limits = force` to remove unused values
ggplot2::ggplot(strati) +
  ggplot2::geom_rect(ggplot2::aes(xmin = rep(0, 15), xmax = rep(1, 15),
                                  ymin = start, ymax = end, fill = name)) +
  ggplot2::scale_y_reverse() +
  ggplot2::facet_grid(. ~ type) +
  scale_fill_stratigraphy(name = "Stratigraphy", limits = force)

Fabio Crameri's acton Sequential Color Scheme

Description

Fabio Crameri's acton Sequential Color Scheme

Usage

scale_colour_acton(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "colour"
)

scale_color_acton(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "colour"
)

scale_fill_acton(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "fill"
)

scale_edge_colour_acton(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "edge_colour"
)

scale_edge_color_acton(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "edge_colour"
)

scale_edge_fill_acton(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "edge_fill"
)

Arguments

...

Arguments passed to ggplot2::continuous_scale().

reverse

A logical scalar. Should the resulting vector of colors be reversed?

range

A length-two numeric vector specifying the fraction of the scheme's color domain to keep.

discrete

A logical scalar: should the color scheme be used as a discrete scale?

aesthetics

A character string or vector of character strings listing the name(s) of the aesthetic(s) that this scale works with.

Value

A continuous scale.

Sequential Color Schemes

If more colors than defined are needed from a given scheme, the color coordinates are linearly interpolated to provide a continuous version of the scheme.

Palette Max.
batlow 256
batlowW 256
batlowK 256
devon 256
lajolla 256
bamako 256
davos 256
bilbao 256
nuuk 256
oslo 256
grayC 256
hawaii 256
lapaz 256
tokyo 256
buda 256
acton 256
turku 256
imola 256
oleron* 256
bukavu* 256
fes* 256

*: multisequential color schemes.

Author(s)

N. Frerebeau

Source

Crameri, F. (2021). Scientific colour maps. Zenodo, v7.0. doi:10.5281/zenodo.4491293

References

Crameri, F. (2018). Geodynamic diagnostics, scientific visualisation and StagLab 3.0. Geosci. Model Dev., 11, 2541-2562. doi:10.5194/gmd-11-2541-2018

Crameri, F., Shephard, G. E. & Heron, P. J. (2020). The misuse of colour in science communication. Nature Communications, 11, 5444. doi:10.1038/s41467-020-19160-7

See Also

Other sequential color schemes: scale_crameri_bamako, scale_crameri_batlow, scale_crameri_batlowK, scale_crameri_batlowW, scale_crameri_bilbao, scale_crameri_buda, scale_crameri_davos, scale_crameri_devon, scale_crameri_grayC, scale_crameri_hawaii, scale_crameri_imola, scale_crameri_lajolla, scale_crameri_lapaz, scale_crameri_nuuk, scale_crameri_oslo, scale_crameri_tokyo, scale_crameri_turku, scale_tol_YlOrBr, scale_tol_incandescent, scale_tol_iridescent, scale_tol_smoothrainbow

Other Fabio Crameri's color schemes: scale_crameri_bam, scale_crameri_bamO, scale_crameri_bamako, scale_crameri_batlow, scale_crameri_batlowK, scale_crameri_batlowW, scale_crameri_berlin, scale_crameri_bilbao, scale_crameri_broc, scale_crameri_brocO, scale_crameri_buda, scale_crameri_bukavu, scale_crameri_cork, scale_crameri_corkO, scale_crameri_davos, scale_crameri_devon, scale_crameri_fes, scale_crameri_grayC, scale_crameri_hawaii, scale_crameri_imola, scale_crameri_lajolla, scale_crameri_lapaz, scale_crameri_lisbon, scale_crameri_nuuk, scale_crameri_oleron, scale_crameri_oslo, scale_crameri_roma, scale_crameri_romaO, scale_crameri_tofino, scale_crameri_tokyo, scale_crameri_turku, scale_crameri_vanimo, scale_crameri_vik, scale_crameri_vikO

Examples

data(faithfuld, package = "ggplot2")

ggplot2::ggplot(faithfuld, ggplot2::aes(waiting, eruptions, fill = density)) +
  ggplot2::geom_raster() +
  scale_fill_batlow()

ggplot2::ggplot(faithfuld, ggplot2::aes(waiting, eruptions, fill = density)) +
  ggplot2::geom_raster() +
  scale_fill_bamako()

ggplot2::ggplot(faithfuld, ggplot2::aes(waiting, eruptions, fill = density)) +
  ggplot2::geom_raster() +
  scale_fill_hawaii(reverse = TRUE)

Fabio Crameri's bam Diverging Color Scheme

Description

Fabio Crameri's bam Diverging Color Scheme

Usage

scale_colour_bam(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  midpoint = 0,
  discrete = FALSE,
  aesthetics = "colour"
)

scale_color_bam(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  midpoint = 0,
  discrete = FALSE,
  aesthetics = "colour"
)

scale_fill_bam(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  midpoint = 0,
  discrete = FALSE,
  aesthetics = "fill"
)

scale_edge_colour_bam(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  midpoint = 0,
  discrete = FALSE,
  aesthetics = "edge_colour"
)

scale_edge_color_bam(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  midpoint = 0,
  discrete = FALSE,
  aesthetics = "edge_colour"
)

scale_edge_fill_bam(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  midpoint = 0,
  discrete = FALSE,
  aesthetics = "edge_fill"
)

Arguments

...

Arguments passed to ggplot2::continuous_scale().

reverse

A logical scalar. Should the resulting vector of colors be reversed?

range

A length-two numeric vector specifying the fraction of the scheme's color domain to keep.

midpoint

A length-one numeric vector giving the midpoint (in data value) of the diverging scale. Defaults to 0.

discrete

A logical scalar: should the color scheme be used as a discrete scale?

aesthetics

A character string or vector of character strings listing the name(s) of the aesthetic(s) that this scale works with.

Value

A continuous scale.

Diverging Color Schemes

If more colors than defined are needed from a given scheme, the color coordinates are linearly interpolated to provide a continuous version of the scheme.

Palette Max.
broc 256
cork 256
vik 256
lisbon 256
tofino 256
berlin 256
roma 256
bam 256
vanimo 256
brocO* 256
corkO* 256
vikO* 256
romaO* 256
bamO* 256

*: cyclic color schemes.

Author(s)

N. Frerebeau

Source

Crameri, F. (2021). Scientific colour maps. Zenodo, v7.0. doi:10.5281/zenodo.4491293

References

Crameri, F. (2018). Geodynamic diagnostics, scientific visualisation and StagLab 3.0. Geosci. Model Dev., 11, 2541-2562. doi:10.5194/gmd-11-2541-2018

Crameri, F., Shephard, G. E. & Heron, P. J. (2020). The misuse of colour in science communication. Nature Communications, 11, 5444. doi:10.1038/s41467-020-19160-7

See Also

Other diverging color schemes: scale_crameri_berlin, scale_crameri_broc, scale_crameri_cork, scale_crameri_lisbon, scale_crameri_roma, scale_crameri_tofino, scale_crameri_vanimo, scale_crameri_vik, scale_tol_BuRd, scale_tol_PRGn, scale_tol_nightfall, scale_tol_sunset

Other Fabio Crameri's color schemes: scale_crameri_acton, scale_crameri_bamO, scale_crameri_bamako, scale_crameri_batlow, scale_crameri_batlowK, scale_crameri_batlowW, scale_crameri_berlin, scale_crameri_bilbao, scale_crameri_broc, scale_crameri_brocO, scale_crameri_buda, scale_crameri_bukavu, scale_crameri_cork, scale_crameri_corkO, scale_crameri_davos, scale_crameri_devon, scale_crameri_fes, scale_crameri_grayC, scale_crameri_hawaii, scale_crameri_imola, scale_crameri_lajolla, scale_crameri_lapaz, scale_crameri_lisbon, scale_crameri_nuuk, scale_crameri_oleron, scale_crameri_oslo, scale_crameri_roma, scale_crameri_romaO, scale_crameri_tofino, scale_crameri_tokyo, scale_crameri_turku, scale_crameri_vanimo, scale_crameri_vik, scale_crameri_vikO

Examples

data(economics, package = "ggplot2")

ggplot2::ggplot(economics, ggplot2::aes(psavert, pce, colour = unemploy)) +
  ggplot2::geom_point() +
  scale_colour_broc(reverse = TRUE, midpoint = 12000)

ggplot2::ggplot(economics, ggplot2::aes(psavert, pce, colour = unemploy)) +
  ggplot2::geom_point() +
  scale_colour_berlin(midpoint = 9000)

Fabio Crameri's bamO Cyclic Color Scheme

Description

Fabio Crameri's bamO Cyclic Color Scheme

Usage

scale_colour_bamO(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "colour"
)

scale_color_bamO(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "colour"
)

scale_fill_bamO(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "fill"
)

Arguments

...

Arguments passed to ggplot2::continuous_scale().

reverse

A logical scalar. Should the resulting vector of colors be reversed?

range

A length-two numeric vector specifying the fraction of the scheme's color domain to keep.

discrete

A logical scalar: should the color scheme be used as a discrete scale?

aesthetics

A character string or vector of character strings listing the name(s) of the aesthetic(s) that this scale works with.

Value

A continuous scale.

Diverging Color Schemes

If more colors than defined are needed from a given scheme, the color coordinates are linearly interpolated to provide a continuous version of the scheme.

Palette Max.
broc 256
cork 256
vik 256
lisbon 256
tofino 256
berlin 256
roma 256
bam 256
vanimo 256
brocO* 256
corkO* 256
vikO* 256
romaO* 256
bamO* 256

*: cyclic color schemes.

Author(s)

N. Frerebeau

Source

Crameri, F. (2021). Scientific colour maps. Zenodo, v7.0. doi:10.5281/zenodo.4491293

References

Crameri, F. (2018). Geodynamic diagnostics, scientific visualisation and StagLab 3.0. Geosci. Model Dev., 11, 2541-2562. doi:10.5194/gmd-11-2541-2018

Crameri, F., Shephard, G. E. & Heron, P. J. (2020). The misuse of colour in science communication. Nature Communications, 11, 5444. doi:10.1038/s41467-020-19160-7

See Also

Other cyclic color schemes: scale_crameri_brocO, scale_crameri_corkO, scale_crameri_romaO, scale_crameri_vikO

Other Fabio Crameri's color schemes: scale_crameri_acton, scale_crameri_bam, scale_crameri_bamako, scale_crameri_batlow, scale_crameri_batlowK, scale_crameri_batlowW, scale_crameri_berlin, scale_crameri_bilbao, scale_crameri_broc, scale_crameri_brocO, scale_crameri_buda, scale_crameri_bukavu, scale_crameri_cork, scale_crameri_corkO, scale_crameri_davos, scale_crameri_devon, scale_crameri_fes, scale_crameri_grayC, scale_crameri_hawaii, scale_crameri_imola, scale_crameri_lajolla, scale_crameri_lapaz, scale_crameri_lisbon, scale_crameri_nuuk, scale_crameri_oleron, scale_crameri_oslo, scale_crameri_roma, scale_crameri_romaO, scale_crameri_tofino, scale_crameri_tokyo, scale_crameri_turku, scale_crameri_vanimo, scale_crameri_vik, scale_crameri_vikO

Examples

data(economics, package = "ggplot2")

ggplot2::ggplot(economics, ggplot2::aes(psavert, pce, colour = unemploy)) +
  ggplot2::geom_point() +
  scale_colour_broc(reverse = TRUE, midpoint = 12000)

ggplot2::ggplot(economics, ggplot2::aes(psavert, pce, colour = unemploy)) +
  ggplot2::geom_point() +
  scale_colour_berlin(midpoint = 9000)

Fabio Crameri's bamako Sequential Color Scheme

Description

Fabio Crameri's bamako Sequential Color Scheme

Usage

scale_colour_bamako(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "colour"
)

scale_color_bamako(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "colour"
)

scale_fill_bamako(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "fill"
)

scale_edge_colour_bamako(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "edge_colour"
)

scale_edge_color_bamako(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "edge_colour"
)

scale_edge_fill_bamako(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "edge_fill"
)

Arguments

...

Arguments passed to ggplot2::continuous_scale().

reverse

A logical scalar. Should the resulting vector of colors be reversed?

range

A length-two numeric vector specifying the fraction of the scheme's color domain to keep.

discrete

A logical scalar: should the color scheme be used as a discrete scale?

aesthetics

A character string or vector of character strings listing the name(s) of the aesthetic(s) that this scale works with.

Value

A continuous scale.

Sequential Color Schemes

If more colors than defined are needed from a given scheme, the color coordinates are linearly interpolated to provide a continuous version of the scheme.

Palette Max.
batlow 256
batlowW 256
batlowK 256
devon 256
lajolla 256
bamako 256
davos 256
bilbao 256
nuuk 256
oslo 256
grayC 256
hawaii 256
lapaz 256
tokyo 256
buda 256
acton 256
turku 256
imola 256
oleron* 256
bukavu* 256
fes* 256

*: multisequential color schemes.

Author(s)

N. Frerebeau

Source

Crameri, F. (2021). Scientific colour maps. Zenodo, v7.0. doi:10.5281/zenodo.4491293

References

Crameri, F. (2018). Geodynamic diagnostics, scientific visualisation and StagLab 3.0. Geosci. Model Dev., 11, 2541-2562. doi:10.5194/gmd-11-2541-2018

Crameri, F., Shephard, G. E. & Heron, P. J. (2020). The misuse of colour in science communication. Nature Communications, 11, 5444. doi:10.1038/s41467-020-19160-7

See Also

Other sequential color schemes: scale_crameri_acton, scale_crameri_batlow, scale_crameri_batlowK, scale_crameri_batlowW, scale_crameri_bilbao, scale_crameri_buda, scale_crameri_davos, scale_crameri_devon, scale_crameri_grayC, scale_crameri_hawaii, scale_crameri_imola, scale_crameri_lajolla, scale_crameri_lapaz, scale_crameri_nuuk, scale_crameri_oslo, scale_crameri_tokyo, scale_crameri_turku, scale_tol_YlOrBr, scale_tol_incandescent, scale_tol_iridescent, scale_tol_smoothrainbow

Other Fabio Crameri's color schemes: scale_crameri_acton, scale_crameri_bam, scale_crameri_bamO, scale_crameri_batlow, scale_crameri_batlowK, scale_crameri_batlowW, scale_crameri_berlin, scale_crameri_bilbao, scale_crameri_broc, scale_crameri_brocO, scale_crameri_buda, scale_crameri_bukavu, scale_crameri_cork, scale_crameri_corkO, scale_crameri_davos, scale_crameri_devon, scale_crameri_fes, scale_crameri_grayC, scale_crameri_hawaii, scale_crameri_imola, scale_crameri_lajolla, scale_crameri_lapaz, scale_crameri_lisbon, scale_crameri_nuuk, scale_crameri_oleron, scale_crameri_oslo, scale_crameri_roma, scale_crameri_romaO, scale_crameri_tofino, scale_crameri_tokyo, scale_crameri_turku, scale_crameri_vanimo, scale_crameri_vik, scale_crameri_vikO

Examples

data(faithfuld, package = "ggplot2")

ggplot2::ggplot(faithfuld, ggplot2::aes(waiting, eruptions, fill = density)) +
  ggplot2::geom_raster() +
  scale_fill_batlow()

ggplot2::ggplot(faithfuld, ggplot2::aes(waiting, eruptions, fill = density)) +
  ggplot2::geom_raster() +
  scale_fill_bamako()

ggplot2::ggplot(faithfuld, ggplot2::aes(waiting, eruptions, fill = density)) +
  ggplot2::geom_raster() +
  scale_fill_hawaii(reverse = TRUE)

Fabio Crameri's batlow Sequential Color Scheme

Description

Fabio Crameri's batlow Sequential Color Scheme

Usage

scale_colour_batlow(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "colour"
)

scale_color_batlow(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "colour"
)

scale_fill_batlow(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "fill"
)

scale_edge_colour_batlow(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "edge_colour"
)

scale_edge_color_batlow(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "edge_colour"
)

scale_edge_fill_batlow(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "edge_fill"
)

Arguments

...

Arguments passed to ggplot2::continuous_scale().

reverse

A logical scalar. Should the resulting vector of colors be reversed?

range

A length-two numeric vector specifying the fraction of the scheme's color domain to keep.

discrete

A logical scalar: should the color scheme be used as a discrete scale?

aesthetics

A character string or vector of character strings listing the name(s) of the aesthetic(s) that this scale works with.

Value

A continuous scale.

Sequential Color Schemes

If more colors than defined are needed from a given scheme, the color coordinates are linearly interpolated to provide a continuous version of the scheme.

Palette Max.
batlow 256
batlowW 256
batlowK 256
devon 256
lajolla 256
bamako 256
davos 256
bilbao 256
nuuk 256
oslo 256
grayC 256
hawaii 256
lapaz 256
tokyo 256
buda 256
acton 256
turku 256
imola 256
oleron* 256
bukavu* 256
fes* 256

*: multisequential color schemes.

Author(s)

N. Frerebeau

Source

Crameri, F. (2021). Scientific colour maps. Zenodo, v7.0. doi:10.5281/zenodo.4491293

References

Crameri, F. (2018). Geodynamic diagnostics, scientific visualisation and StagLab 3.0. Geosci. Model Dev., 11, 2541-2562. doi:10.5194/gmd-11-2541-2018

Crameri, F., Shephard, G. E. & Heron, P. J. (2020). The misuse of colour in science communication. Nature Communications, 11, 5444. doi:10.1038/s41467-020-19160-7

See Also

Other sequential color schemes: scale_crameri_acton, scale_crameri_bamako, scale_crameri_batlowK, scale_crameri_batlowW, scale_crameri_bilbao, scale_crameri_buda, scale_crameri_davos, scale_crameri_devon, scale_crameri_grayC, scale_crameri_hawaii, scale_crameri_imola, scale_crameri_lajolla, scale_crameri_lapaz, scale_crameri_nuuk, scale_crameri_oslo, scale_crameri_tokyo, scale_crameri_turku, scale_tol_YlOrBr, scale_tol_incandescent, scale_tol_iridescent, scale_tol_smoothrainbow

Other Fabio Crameri's color schemes: scale_crameri_acton, scale_crameri_bam, scale_crameri_bamO, scale_crameri_bamako, scale_crameri_batlowK, scale_crameri_batlowW, scale_crameri_berlin, scale_crameri_bilbao, scale_crameri_broc, scale_crameri_brocO, scale_crameri_buda, scale_crameri_bukavu, scale_crameri_cork, scale_crameri_corkO, scale_crameri_davos, scale_crameri_devon, scale_crameri_fes, scale_crameri_grayC, scale_crameri_hawaii, scale_crameri_imola, scale_crameri_lajolla, scale_crameri_lapaz, scale_crameri_lisbon, scale_crameri_nuuk, scale_crameri_oleron, scale_crameri_oslo, scale_crameri_roma, scale_crameri_romaO, scale_crameri_tofino, scale_crameri_tokyo, scale_crameri_turku, scale_crameri_vanimo, scale_crameri_vik, scale_crameri_vikO

Examples

data(faithfuld, package = "ggplot2")

ggplot2::ggplot(faithfuld, ggplot2::aes(waiting, eruptions, fill = density)) +
  ggplot2::geom_raster() +
  scale_fill_batlow()

ggplot2::ggplot(faithfuld, ggplot2::aes(waiting, eruptions, fill = density)) +
  ggplot2::geom_raster() +
  scale_fill_bamako()

ggplot2::ggplot(faithfuld, ggplot2::aes(waiting, eruptions, fill = density)) +
  ggplot2::geom_raster() +
  scale_fill_hawaii(reverse = TRUE)

Fabio Crameri's batlowK Sequential Color Scheme

Description

Fabio Crameri's batlowK Sequential Color Scheme

Usage

scale_colour_batlowK(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "colour"
)

scale_color_batlowK(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "colour"
)

scale_fill_batlowK(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "fill"
)

scale_edge_colour_batlowK(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "edge_colour"
)

scale_edge_color_batlowK(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "edge_colour"
)

scale_edge_fill_batlowK(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "edge_fill"
)

Arguments

...

Arguments passed to ggplot2::continuous_scale().

reverse

A logical scalar. Should the resulting vector of colors be reversed?

range

A length-two numeric vector specifying the fraction of the scheme's color domain to keep.

discrete

A logical scalar: should the color scheme be used as a discrete scale?

aesthetics

A character string or vector of character strings listing the name(s) of the aesthetic(s) that this scale works with.

Value

A continuous scale.

Sequential Color Schemes

If more colors than defined are needed from a given scheme, the color coordinates are linearly interpolated to provide a continuous version of the scheme.

Palette Max.
batlow 256
batlowW 256
batlowK 256
devon 256
lajolla 256
bamako 256
davos 256
bilbao 256
nuuk 256
oslo 256
grayC 256
hawaii 256
lapaz 256
tokyo 256
buda 256
acton 256
turku 256
imola 256
oleron* 256
bukavu* 256
fes* 256

*: multisequential color schemes.

Author(s)

N. Frerebeau

Source

Crameri, F. (2021). Scientific colour maps. Zenodo, v7.0. doi:10.5281/zenodo.4491293

References

Crameri, F. (2018). Geodynamic diagnostics, scientific visualisation and StagLab 3.0. Geosci. Model Dev., 11, 2541-2562. doi:10.5194/gmd-11-2541-2018

Crameri, F., Shephard, G. E. & Heron, P. J. (2020). The misuse of colour in science communication. Nature Communications, 11, 5444. doi:10.1038/s41467-020-19160-7

See Also

Other sequential color schemes: scale_crameri_acton, scale_crameri_bamako, scale_crameri_batlow, scale_crameri_batlowW, scale_crameri_bilbao, scale_crameri_buda, scale_crameri_davos, scale_crameri_devon, scale_crameri_grayC, scale_crameri_hawaii, scale_crameri_imola, scale_crameri_lajolla, scale_crameri_lapaz, scale_crameri_nuuk, scale_crameri_oslo, scale_crameri_tokyo, scale_crameri_turku, scale_tol_YlOrBr, scale_tol_incandescent, scale_tol_iridescent, scale_tol_smoothrainbow

Other Fabio Crameri's color schemes: scale_crameri_acton, scale_crameri_bam, scale_crameri_bamO, scale_crameri_bamako, scale_crameri_batlow, scale_crameri_batlowW, scale_crameri_berlin, scale_crameri_bilbao, scale_crameri_broc, scale_crameri_brocO, scale_crameri_buda, scale_crameri_bukavu, scale_crameri_cork, scale_crameri_corkO, scale_crameri_davos, scale_crameri_devon, scale_crameri_fes, scale_crameri_grayC, scale_crameri_hawaii, scale_crameri_imola, scale_crameri_lajolla, scale_crameri_lapaz, scale_crameri_lisbon, scale_crameri_nuuk, scale_crameri_oleron, scale_crameri_oslo, scale_crameri_roma, scale_crameri_romaO, scale_crameri_tofino, scale_crameri_tokyo, scale_crameri_turku, scale_crameri_vanimo, scale_crameri_vik, scale_crameri_vikO

Examples

data(faithfuld, package = "ggplot2")

ggplot2::ggplot(faithfuld, ggplot2::aes(waiting, eruptions, fill = density)) +
  ggplot2::geom_raster() +
  scale_fill_batlow()

ggplot2::ggplot(faithfuld, ggplot2::aes(waiting, eruptions, fill = density)) +
  ggplot2::geom_raster() +
  scale_fill_bamako()

ggplot2::ggplot(faithfuld, ggplot2::aes(waiting, eruptions, fill = density)) +
  ggplot2::geom_raster() +
  scale_fill_hawaii(reverse = TRUE)

Fabio Crameri's batlowW Sequential Color Scheme

Description

Fabio Crameri's batlowW Sequential Color Scheme

Usage

scale_colour_batlowW(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "colour"
)

scale_color_batlowW(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "colour"
)

scale_fill_batlowW(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "fill"
)

scale_edge_colour_batlowW(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "edge_colour"
)

scale_edge_color_batlowW(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "edge_colour"
)

scale_edge_fill_batlowW(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "edge_fill"
)

Arguments

...

Arguments passed to ggplot2::continuous_scale().

reverse

A logical scalar. Should the resulting vector of colors be reversed?

range

A length-two numeric vector specifying the fraction of the scheme's color domain to keep.

discrete

A logical scalar: should the color scheme be used as a discrete scale?

aesthetics

A character string or vector of character strings listing the name(s) of the aesthetic(s) that this scale works with.

Value

A continuous scale.

Sequential Color Schemes

If more colors than defined are needed from a given scheme, the color coordinates are linearly interpolated to provide a continuous version of the scheme.

Palette Max.
batlow 256
batlowW 256
batlowK 256
devon 256
lajolla 256
bamako 256
davos 256
bilbao 256
nuuk 256
oslo 256
grayC 256
hawaii 256
lapaz 256
tokyo 256
buda 256
acton 256
turku 256
imola 256
oleron* 256
bukavu* 256
fes* 256

*: multisequential color schemes.

Author(s)

N. Frerebeau

Source

Crameri, F. (2021). Scientific colour maps. Zenodo, v7.0. doi:10.5281/zenodo.4491293

References

Crameri, F. (2018). Geodynamic diagnostics, scientific visualisation and StagLab 3.0. Geosci. Model Dev., 11, 2541-2562. doi:10.5194/gmd-11-2541-2018

Crameri, F., Shephard, G. E. & Heron, P. J. (2020). The misuse of colour in science communication. Nature Communications, 11, 5444. doi:10.1038/s41467-020-19160-7

See Also

Other sequential color schemes: scale_crameri_acton, scale_crameri_bamako, scale_crameri_batlow, scale_crameri_batlowK, scale_crameri_bilbao, scale_crameri_buda, scale_crameri_davos, scale_crameri_devon, scale_crameri_grayC, scale_crameri_hawaii, scale_crameri_imola, scale_crameri_lajolla, scale_crameri_lapaz, scale_crameri_nuuk, scale_crameri_oslo, scale_crameri_tokyo, scale_crameri_turku, scale_tol_YlOrBr, scale_tol_incandescent, scale_tol_iridescent, scale_tol_smoothrainbow

Other Fabio Crameri's color schemes: scale_crameri_acton, scale_crameri_bam, scale_crameri_bamO, scale_crameri_bamako, scale_crameri_batlow, scale_crameri_batlowK, scale_crameri_berlin, scale_crameri_bilbao, scale_crameri_broc, scale_crameri_brocO, scale_crameri_buda, scale_crameri_bukavu, scale_crameri_cork, scale_crameri_corkO, scale_crameri_davos, scale_crameri_devon, scale_crameri_fes, scale_crameri_grayC, scale_crameri_hawaii, scale_crameri_imola, scale_crameri_lajolla, scale_crameri_lapaz, scale_crameri_lisbon, scale_crameri_nuuk, scale_crameri_oleron, scale_crameri_oslo, scale_crameri_roma, scale_crameri_romaO, scale_crameri_tofino, scale_crameri_tokyo, scale_crameri_turku, scale_crameri_vanimo, scale_crameri_vik, scale_crameri_vikO

Examples

data(faithfuld, package = "ggplot2")

ggplot2::ggplot(faithfuld, ggplot2::aes(waiting, eruptions, fill = density)) +
  ggplot2::geom_raster() +
  scale_fill_batlow()

ggplot2::ggplot(faithfuld, ggplot2::aes(waiting, eruptions, fill = density)) +
  ggplot2::geom_raster() +
  scale_fill_bamako()

ggplot2::ggplot(faithfuld, ggplot2::aes(waiting, eruptions, fill = density)) +
  ggplot2::geom_raster() +
  scale_fill_hawaii(reverse = TRUE)

Fabio Crameri's berlin Diverging Color Scheme

Description

Fabio Crameri's berlin Diverging Color Scheme

Usage

scale_colour_berlin(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  midpoint = 0,
  discrete = FALSE,
  aesthetics = "colour"
)

scale_color_berlin(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  midpoint = 0,
  discrete = FALSE,
  aesthetics = "colour"
)

scale_fill_berlin(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  midpoint = 0,
  discrete = FALSE,
  aesthetics = "fill"
)

scale_edge_colour_berlin(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  midpoint = 0,
  discrete = FALSE,
  aesthetics = "edge_colour"
)

scale_edge_color_berlin(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  midpoint = 0,
  discrete = FALSE,
  aesthetics = "edge_colour"
)

scale_edge_fill_berlin(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  midpoint = 0,
  discrete = FALSE,
  aesthetics = "edge_fill"
)

Arguments

...

Arguments passed to ggplot2::continuous_scale().

reverse

A logical scalar. Should the resulting vector of colors be reversed?

range

A length-two numeric vector specifying the fraction of the scheme's color domain to keep.

midpoint

A length-one numeric vector giving the midpoint (in data value) of the diverging scale. Defaults to 0.

discrete

A logical scalar: should the color scheme be used as a discrete scale?

aesthetics

A character string or vector of character strings listing the name(s) of the aesthetic(s) that this scale works with.

Value

A continuous scale.

Diverging Color Schemes

If more colors than defined are needed from a given scheme, the color coordinates are linearly interpolated to provide a continuous version of the scheme.

Palette Max.
broc 256
cork 256
vik 256
lisbon 256
tofino 256
berlin 256
roma 256
bam 256
vanimo 256
brocO* 256
corkO* 256
vikO* 256
romaO* 256
bamO* 256

*: cyclic color schemes.

Author(s)

N. Frerebeau

Source

Crameri, F. (2021). Scientific colour maps. Zenodo, v7.0. doi:10.5281/zenodo.4491293

References

Crameri, F. (2018). Geodynamic diagnostics, scientific visualisation and StagLab 3.0. Geosci. Model Dev., 11, 2541-2562. doi:10.5194/gmd-11-2541-2018

Crameri, F., Shephard, G. E. & Heron, P. J. (2020). The misuse of colour in science communication. Nature Communications, 11, 5444. doi:10.1038/s41467-020-19160-7

See Also

Other diverging color schemes: scale_crameri_bam, scale_crameri_broc, scale_crameri_cork, scale_crameri_lisbon, scale_crameri_roma, scale_crameri_tofino, scale_crameri_vanimo, scale_crameri_vik, scale_tol_BuRd, scale_tol_PRGn, scale_tol_nightfall, scale_tol_sunset

Other Fabio Crameri's color schemes: scale_crameri_acton, scale_crameri_bam, scale_crameri_bamO, scale_crameri_bamako, scale_crameri_batlow, scale_crameri_batlowK, scale_crameri_batlowW, scale_crameri_bilbao, scale_crameri_broc, scale_crameri_brocO, scale_crameri_buda, scale_crameri_bukavu, scale_crameri_cork, scale_crameri_corkO, scale_crameri_davos, scale_crameri_devon, scale_crameri_fes, scale_crameri_grayC, scale_crameri_hawaii, scale_crameri_imola, scale_crameri_lajolla, scale_crameri_lapaz, scale_crameri_lisbon, scale_crameri_nuuk, scale_crameri_oleron, scale_crameri_oslo, scale_crameri_roma, scale_crameri_romaO, scale_crameri_tofino, scale_crameri_tokyo, scale_crameri_turku, scale_crameri_vanimo, scale_crameri_vik, scale_crameri_vikO

Examples

data(economics, package = "ggplot2")

ggplot2::ggplot(economics, ggplot2::aes(psavert, pce, colour = unemploy)) +
  ggplot2::geom_point() +
  scale_colour_broc(reverse = TRUE, midpoint = 12000)

ggplot2::ggplot(economics, ggplot2::aes(psavert, pce, colour = unemploy)) +
  ggplot2::geom_point() +
  scale_colour_berlin(midpoint = 9000)

Fabio Crameri's bilbao Sequential Color Scheme

Description

Fabio Crameri's bilbao Sequential Color Scheme

Usage

scale_colour_bilbao(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "colour"
)

scale_color_bilbao(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "colour"
)

scale_fill_bilbao(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "fill"
)

scale_edge_colour_bilbao(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "edge_colour"
)

scale_edge_color_bilbao(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "edge_colour"
)

scale_edge_fill_bilbao(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "edge_fill"
)

Arguments

...

Arguments passed to ggplot2::continuous_scale().

reverse

A logical scalar. Should the resulting vector of colors be reversed?

range

A length-two numeric vector specifying the fraction of the scheme's color domain to keep.

discrete

A logical scalar: should the color scheme be used as a discrete scale?

aesthetics

A character string or vector of character strings listing the name(s) of the aesthetic(s) that this scale works with.

Value

A continuous scale.

Sequential Color Schemes

If more colors than defined are needed from a given scheme, the color coordinates are linearly interpolated to provide a continuous version of the scheme.

Palette Max.
batlow 256
batlowW 256
batlowK 256
devon 256
lajolla 256
bamako 256
davos 256
bilbao 256
nuuk 256
oslo 256
grayC 256
hawaii 256
lapaz 256
tokyo 256
buda 256
acton 256
turku 256
imola 256
oleron* 256
bukavu* 256
fes* 256

*: multisequential color schemes.

Author(s)

N. Frerebeau

Source

Crameri, F. (2021). Scientific colour maps. Zenodo, v7.0. doi:10.5281/zenodo.4491293

References

Crameri, F. (2018). Geodynamic diagnostics, scientific visualisation and StagLab 3.0. Geosci. Model Dev., 11, 2541-2562. doi:10.5194/gmd-11-2541-2018

Crameri, F., Shephard, G. E. & Heron, P. J. (2020). The misuse of colour in science communication. Nature Communications, 11, 5444. doi:10.1038/s41467-020-19160-7

See Also

Other sequential color schemes: scale_crameri_acton, scale_crameri_bamako, scale_crameri_batlow, scale_crameri_batlowK, scale_crameri_batlowW, scale_crameri_buda, scale_crameri_davos, scale_crameri_devon, scale_crameri_grayC, scale_crameri_hawaii, scale_crameri_imola, scale_crameri_lajolla, scale_crameri_lapaz, scale_crameri_nuuk, scale_crameri_oslo, scale_crameri_tokyo, scale_crameri_turku, scale_tol_YlOrBr, scale_tol_incandescent, scale_tol_iridescent, scale_tol_smoothrainbow

Other Fabio Crameri's color schemes: scale_crameri_acton, scale_crameri_bam, scale_crameri_bamO, scale_crameri_bamako, scale_crameri_batlow, scale_crameri_batlowK, scale_crameri_batlowW, scale_crameri_berlin, scale_crameri_broc, scale_crameri_brocO, scale_crameri_buda, scale_crameri_bukavu, scale_crameri_cork, scale_crameri_corkO, scale_crameri_davos, scale_crameri_devon, scale_crameri_fes, scale_crameri_grayC, scale_crameri_hawaii, scale_crameri_imola, scale_crameri_lajolla, scale_crameri_lapaz, scale_crameri_lisbon, scale_crameri_nuuk, scale_crameri_oleron, scale_crameri_oslo, scale_crameri_roma, scale_crameri_romaO, scale_crameri_tofino, scale_crameri_tokyo, scale_crameri_turku, scale_crameri_vanimo, scale_crameri_vik, scale_crameri_vikO

Examples

data(faithfuld, package = "ggplot2")

ggplot2::ggplot(faithfuld, ggplot2::aes(waiting, eruptions, fill = density)) +
  ggplot2::geom_raster() +
  scale_fill_batlow()

ggplot2::ggplot(faithfuld, ggplot2::aes(waiting, eruptions, fill = density)) +
  ggplot2::geom_raster() +
  scale_fill_bamako()

ggplot2::ggplot(faithfuld, ggplot2::aes(waiting, eruptions, fill = density)) +
  ggplot2::geom_raster() +
  scale_fill_hawaii(reverse = TRUE)

Fabio Crameri's broc Diverging Color Scheme

Description

Fabio Crameri's broc Diverging Color Scheme

Usage

scale_colour_broc(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  midpoint = 0,
  discrete = FALSE,
  aesthetics = "colour"
)

scale_color_broc(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  midpoint = 0,
  discrete = FALSE,
  aesthetics = "colour"
)

scale_fill_broc(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  midpoint = 0,
  discrete = FALSE,
  aesthetics = "fill"
)

scale_edge_colour_broc(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  midpoint = 0,
  discrete = FALSE,
  aesthetics = "edge_colour"
)

scale_edge_color_broc(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  midpoint = 0,
  discrete = FALSE,
  aesthetics = "edge_colour"
)

scale_edge_fill_broc(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  midpoint = 0,
  discrete = FALSE,
  aesthetics = "edge_fill"
)

Arguments

...

Arguments passed to ggplot2::continuous_scale().

reverse

A logical scalar. Should the resulting vector of colors be reversed?

range

A length-two numeric vector specifying the fraction of the scheme's color domain to keep.

midpoint

A length-one numeric vector giving the midpoint (in data value) of the diverging scale. Defaults to 0.

discrete

A logical scalar: should the color scheme be used as a discrete scale?

aesthetics

A character string or vector of character strings listing the name(s) of the aesthetic(s) that this scale works with.

Value

A continuous scale.

Diverging Color Schemes

If more colors than defined are needed from a given scheme, the color coordinates are linearly interpolated to provide a continuous version of the scheme.

Palette Max.
broc 256
cork 256
vik 256
lisbon 256
tofino 256
berlin 256
roma 256
bam 256
vanimo 256
brocO* 256
corkO* 256
vikO* 256
romaO* 256
bamO* 256

*: cyclic color schemes.

Author(s)

N. Frerebeau

Source

Crameri, F. (2021). Scientific colour maps. Zenodo, v7.0. doi:10.5281/zenodo.4491293

References

Crameri, F. (2018). Geodynamic diagnostics, scientific visualisation and StagLab 3.0. Geosci. Model Dev., 11, 2541-2562. doi:10.5194/gmd-11-2541-2018

Crameri, F., Shephard, G. E. & Heron, P. J. (2020). The misuse of colour in science communication. Nature Communications, 11, 5444. doi:10.1038/s41467-020-19160-7

See Also

Other diverging color schemes: scale_crameri_bam, scale_crameri_berlin, scale_crameri_cork, scale_crameri_lisbon, scale_crameri_roma, scale_crameri_tofino, scale_crameri_vanimo, scale_crameri_vik, scale_tol_BuRd, scale_tol_PRGn, scale_tol_nightfall, scale_tol_sunset

Other Fabio Crameri's color schemes: scale_crameri_acton, scale_crameri_bam, scale_crameri_bamO, scale_crameri_bamako, scale_crameri_batlow, scale_crameri_batlowK, scale_crameri_batlowW, scale_crameri_berlin, scale_crameri_bilbao, scale_crameri_brocO, scale_crameri_buda, scale_crameri_bukavu, scale_crameri_cork, scale_crameri_corkO, scale_crameri_davos, scale_crameri_devon, scale_crameri_fes, scale_crameri_grayC, scale_crameri_hawaii, scale_crameri_imola, scale_crameri_lajolla, scale_crameri_lapaz, scale_crameri_lisbon, scale_crameri_nuuk, scale_crameri_oleron, scale_crameri_oslo, scale_crameri_roma, scale_crameri_romaO, scale_crameri_tofino, scale_crameri_tokyo, scale_crameri_turku, scale_crameri_vanimo, scale_crameri_vik, scale_crameri_vikO

Examples

data(economics, package = "ggplot2")

ggplot2::ggplot(economics, ggplot2::aes(psavert, pce, colour = unemploy)) +
  ggplot2::geom_point() +
  scale_colour_broc(reverse = TRUE, midpoint = 12000)

ggplot2::ggplot(economics, ggplot2::aes(psavert, pce, colour = unemploy)) +
  ggplot2::geom_point() +
  scale_colour_berlin(midpoint = 9000)

Fabio Crameri's brocO Cyclic Color Scheme

Description

Fabio Crameri's brocO Cyclic Color Scheme

Usage

scale_colour_brocO(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "colour"
)

scale_color_brocO(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "colour"
)

scale_fill_brocO(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "fill"
)

Arguments

...

Arguments passed to ggplot2::continuous_scale().

reverse

A logical scalar. Should the resulting vector of colors be reversed?

range

A length-two numeric vector specifying the fraction of the scheme's color domain to keep.

discrete

A logical scalar: should the color scheme be used as a discrete scale?

aesthetics

A character string or vector of character strings listing the name(s) of the aesthetic(s) that this scale works with.

Value

A continuous scale.

Diverging Color Schemes

If more colors than defined are needed from a given scheme, the color coordinates are linearly interpolated to provide a continuous version of the scheme.

Palette Max.
broc 256
cork 256
vik 256
lisbon 256
tofino 256
berlin 256
roma 256
bam 256
vanimo 256
brocO* 256
corkO* 256
vikO* 256
romaO* 256
bamO* 256

*: cyclic color schemes.

Author(s)

N. Frerebeau

Source

Crameri, F. (2021). Scientific colour maps. Zenodo, v7.0. doi:10.5281/zenodo.4491293

References

Crameri, F. (2018). Geodynamic diagnostics, scientific visualisation and StagLab 3.0. Geosci. Model Dev., 11, 2541-2562. doi:10.5194/gmd-11-2541-2018

Crameri, F., Shephard, G. E. & Heron, P. J. (2020). The misuse of colour in science communication. Nature Communications, 11, 5444. doi:10.1038/s41467-020-19160-7

See Also

Other cyclic color schemes: scale_crameri_bamO, scale_crameri_corkO, scale_crameri_romaO, scale_crameri_vikO

Other Fabio Crameri's color schemes: scale_crameri_acton, scale_crameri_bam, scale_crameri_bamO, scale_crameri_bamako, scale_crameri_batlow, scale_crameri_batlowK, scale_crameri_batlowW, scale_crameri_berlin, scale_crameri_bilbao, scale_crameri_broc, scale_crameri_buda, scale_crameri_bukavu, scale_crameri_cork, scale_crameri_corkO, scale_crameri_davos, scale_crameri_devon, scale_crameri_fes, scale_crameri_grayC, scale_crameri_hawaii, scale_crameri_imola, scale_crameri_lajolla, scale_crameri_lapaz, scale_crameri_lisbon, scale_crameri_nuuk, scale_crameri_oleron, scale_crameri_oslo, scale_crameri_roma, scale_crameri_romaO, scale_crameri_tofino, scale_crameri_tokyo, scale_crameri_turku, scale_crameri_vanimo, scale_crameri_vik, scale_crameri_vikO

Examples

data(economics, package = "ggplot2")

ggplot2::ggplot(economics, ggplot2::aes(psavert, pce, colour = unemploy)) +
  ggplot2::geom_point() +
  scale_colour_broc(reverse = TRUE, midpoint = 12000)

ggplot2::ggplot(economics, ggplot2::aes(psavert, pce, colour = unemploy)) +
  ggplot2::geom_point() +
  scale_colour_berlin(midpoint = 9000)

Fabio Crameri's buda Sequential Color Scheme

Description

Fabio Crameri's buda Sequential Color Scheme

Usage

scale_colour_buda(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "colour"
)

scale_color_buda(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "colour"
)

scale_fill_buda(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "fill"
)

scale_edge_colour_buda(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "edge_colour"
)

scale_edge_color_buda(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "edge_colour"
)

scale_edge_fill_buda(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "edge_fill"
)

Arguments

...

Arguments passed to ggplot2::continuous_scale().

reverse

A logical scalar. Should the resulting vector of colors be reversed?

range

A length-two numeric vector specifying the fraction of the scheme's color domain to keep.

discrete

A logical scalar: should the color scheme be used as a discrete scale?

aesthetics

A character string or vector of character strings listing the name(s) of the aesthetic(s) that this scale works with.

Value

A continuous scale.

Sequential Color Schemes

If more colors than defined are needed from a given scheme, the color coordinates are linearly interpolated to provide a continuous version of the scheme.

Palette Max.
batlow 256
batlowW 256
batlowK 256
devon 256
lajolla 256
bamako 256
davos 256
bilbao 256
nuuk 256
oslo 256
grayC 256
hawaii 256
lapaz 256
tokyo 256
buda 256
acton 256
turku 256
imola 256
oleron* 256
bukavu* 256
fes* 256

*: multisequential color schemes.

Author(s)

N. Frerebeau

Source

Crameri, F. (2021). Scientific colour maps. Zenodo, v7.0. doi:10.5281/zenodo.4491293

References

Crameri, F. (2018). Geodynamic diagnostics, scientific visualisation and StagLab 3.0. Geosci. Model Dev., 11, 2541-2562. doi:10.5194/gmd-11-2541-2018

Crameri, F., Shephard, G. E. & Heron, P. J. (2020). The misuse of colour in science communication. Nature Communications, 11, 5444. doi:10.1038/s41467-020-19160-7

See Also

Other sequential color schemes: scale_crameri_acton, scale_crameri_bamako, scale_crameri_batlow, scale_crameri_batlowK, scale_crameri_batlowW, scale_crameri_bilbao, scale_crameri_davos, scale_crameri_devon, scale_crameri_grayC, scale_crameri_hawaii, scale_crameri_imola, scale_crameri_lajolla, scale_crameri_lapaz, scale_crameri_nuuk, scale_crameri_oslo, scale_crameri_tokyo, scale_crameri_turku, scale_tol_YlOrBr, scale_tol_incandescent, scale_tol_iridescent, scale_tol_smoothrainbow

Other Fabio Crameri's color schemes: scale_crameri_acton, scale_crameri_bam, scale_crameri_bamO, scale_crameri_bamako, scale_crameri_batlow, scale_crameri_batlowK, scale_crameri_batlowW, scale_crameri_berlin, scale_crameri_bilbao, scale_crameri_broc, scale_crameri_brocO, scale_crameri_bukavu, scale_crameri_cork, scale_crameri_corkO, scale_crameri_davos, scale_crameri_devon, scale_crameri_fes, scale_crameri_grayC, scale_crameri_hawaii, scale_crameri_imola, scale_crameri_lajolla, scale_crameri_lapaz, scale_crameri_lisbon, scale_crameri_nuuk, scale_crameri_oleron, scale_crameri_oslo, scale_crameri_roma, scale_crameri_romaO, scale_crameri_tofino, scale_crameri_tokyo, scale_crameri_turku, scale_crameri_vanimo, scale_crameri_vik, scale_crameri_vikO

Examples

data(faithfuld, package = "ggplot2")

ggplot2::ggplot(faithfuld, ggplot2::aes(waiting, eruptions, fill = density)) +
  ggplot2::geom_raster() +
  scale_fill_batlow()

ggplot2::ggplot(faithfuld, ggplot2::aes(waiting, eruptions, fill = density)) +
  ggplot2::geom_raster() +
  scale_fill_bamako()

ggplot2::ggplot(faithfuld, ggplot2::aes(waiting, eruptions, fill = density)) +
  ggplot2::geom_raster() +
  scale_fill_hawaii(reverse = TRUE)

Fabio Crameri's bukavu Multi-Sequential Color Scheme

Description

Fabio Crameri's bukavu Multi-Sequential Color Scheme

Usage

scale_colour_bukavu(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  midpoint = 0,
  aesthetics = "colour"
)

scale_color_bukavu(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  midpoint = 0,
  aesthetics = "colour"
)

scale_fill_bukavu(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  midpoint = 0,
  aesthetics = "fill"
)

Arguments

...

Arguments passed to ggplot2::continuous_scale().

reverse

A logical scalar. Should the resulting vector of colors be reversed?

range

A length-two numeric vector specifying the fraction of the scheme's color domain to keep.

midpoint

A length-one numeric vector giving the midpoint (in data value) of the diverging scale. Defaults to 0.

aesthetics

A character string or vector of character strings listing the name(s) of the aesthetic(s) that this scale works with.

Value

A continuous scale.

Sequential Color Schemes

If more colors than defined are needed from a given scheme, the color coordinates are linearly interpolated to provide a continuous version of the scheme.

Palette Max.
batlow 256
batlowW 256
batlowK 256
devon 256
lajolla 256
bamako 256
davos 256
bilbao 256
nuuk 256
oslo 256
grayC 256
hawaii 256
lapaz 256
tokyo 256
buda 256
acton 256
turku 256
imola 256
oleron* 256
bukavu* 256
fes* 256

*: multisequential color schemes.

Author(s)

N. Frerebeau

Source

Crameri, F. (2021). Scientific colour maps. Zenodo, v7.0. doi:10.5281/zenodo.4491293

References

Crameri, F. (2018). Geodynamic diagnostics, scientific visualisation and StagLab 3.0. Geosci. Model Dev., 11, 2541-2562. doi:10.5194/gmd-11-2541-2018

Crameri, F., Shephard, G. E. & Heron, P. J. (2020). The misuse of colour in science communication. Nature Communications, 11, 5444. doi:10.1038/s41467-020-19160-7

See Also

Other multi sequential color schemes: scale_crameri_fes, scale_crameri_oleron

Other Fabio Crameri's color schemes: scale_crameri_acton, scale_crameri_bam, scale_crameri_bamO, scale_crameri_bamako, scale_crameri_batlow, scale_crameri_batlowK, scale_crameri_batlowW, scale_crameri_berlin, scale_crameri_bilbao, scale_crameri_broc, scale_crameri_brocO, scale_crameri_buda, scale_crameri_cork, scale_crameri_corkO, scale_crameri_davos, scale_crameri_devon, scale_crameri_fes, scale_crameri_grayC, scale_crameri_hawaii, scale_crameri_imola, scale_crameri_lajolla, scale_crameri_lapaz, scale_crameri_lisbon, scale_crameri_nuuk, scale_crameri_oleron, scale_crameri_oslo, scale_crameri_roma, scale_crameri_romaO, scale_crameri_tofino, scale_crameri_tokyo, scale_crameri_turku, scale_crameri_vanimo, scale_crameri_vik, scale_crameri_vikO

Examples

data(volcano)

volcan <- data.frame(
  x = rep(1:ncol(volcano), each = nrow(volcano)),
  y = rep(1:nrow(volcano), times = ncol(volcano)),
  z = as.numeric(volcano)
)

ggplot2::ggplot(volcan, ggplot2::aes(x, y, fill = z)) +
  ggplot2::geom_raster() +
  scale_fill_oleron(midpoint = 125)

Fabio Crameri's cork Diverging Color Scheme

Description

Fabio Crameri's cork Diverging Color Scheme

Usage

scale_colour_cork(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  midpoint = 0,
  discrete = FALSE,
  aesthetics = "colour"
)

scale_color_cork(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  midpoint = 0,
  discrete = FALSE,
  aesthetics = "colour"
)

scale_fill_cork(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  midpoint = 0,
  discrete = FALSE,
  aesthetics = "fill"
)

scale_edge_colour_cork(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  midpoint = 0,
  discrete = FALSE,
  aesthetics = "edge_colour"
)

scale_edge_color_cork(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  midpoint = 0,
  discrete = FALSE,
  aesthetics = "edge_colour"
)

scale_edge_fill_cork(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  midpoint = 0,
  discrete = FALSE,
  aesthetics = "edge_fill"
)

Arguments

...

Arguments passed to ggplot2::continuous_scale().

reverse

A logical scalar. Should the resulting vector of colors be reversed?

range

A length-two numeric vector specifying the fraction of the scheme's color domain to keep.

midpoint

A length-one numeric vector giving the midpoint (in data value) of the diverging scale. Defaults to 0.

discrete

A logical scalar: should the color scheme be used as a discrete scale?

aesthetics

A character string or vector of character strings listing the name(s) of the aesthetic(s) that this scale works with.

Value

A continuous scale.

Diverging Color Schemes

If more colors than defined are needed from a given scheme, the color coordinates are linearly interpolated to provide a continuous version of the scheme.

Palette Max.
broc 256
cork 256
vik 256
lisbon 256
tofino 256
berlin 256
roma 256
bam 256
vanimo 256
brocO* 256
corkO* 256
vikO* 256
romaO* 256
bamO* 256

*: cyclic color schemes.

Author(s)

N. Frerebeau

Source

Crameri, F. (2021). Scientific colour maps. Zenodo, v7.0. doi:10.5281/zenodo.4491293

References

Crameri, F. (2018). Geodynamic diagnostics, scientific visualisation and StagLab 3.0. Geosci. Model Dev., 11, 2541-2562. doi:10.5194/gmd-11-2541-2018

Crameri, F., Shephard, G. E. & Heron, P. J. (2020). The misuse of colour in science communication. Nature Communications, 11, 5444. doi:10.1038/s41467-020-19160-7

See Also

Other diverging color schemes: scale_crameri_bam, scale_crameri_berlin, scale_crameri_broc, scale_crameri_lisbon, scale_crameri_roma, scale_crameri_tofino, scale_crameri_vanimo, scale_crameri_vik, scale_tol_BuRd, scale_tol_PRGn, scale_tol_nightfall, scale_tol_sunset

Other Fabio Crameri's color schemes: scale_crameri_acton, scale_crameri_bam, scale_crameri_bamO, scale_crameri_bamako, scale_crameri_batlow, scale_crameri_batlowK, scale_crameri_batlowW, scale_crameri_berlin, scale_crameri_bilbao, scale_crameri_broc, scale_crameri_brocO, scale_crameri_buda, scale_crameri_bukavu, scale_crameri_corkO, scale_crameri_davos, scale_crameri_devon, scale_crameri_fes, scale_crameri_grayC, scale_crameri_hawaii, scale_crameri_imola, scale_crameri_lajolla, scale_crameri_lapaz, scale_crameri_lisbon, scale_crameri_nuuk, scale_crameri_oleron, scale_crameri_oslo, scale_crameri_roma, scale_crameri_romaO, scale_crameri_tofino, scale_crameri_tokyo, scale_crameri_turku, scale_crameri_vanimo, scale_crameri_vik, scale_crameri_vikO

Examples

data(economics, package = "ggplot2")

ggplot2::ggplot(economics, ggplot2::aes(psavert, pce, colour = unemploy)) +
  ggplot2::geom_point() +
  scale_colour_broc(reverse = TRUE, midpoint = 12000)

ggplot2::ggplot(economics, ggplot2::aes(psavert, pce, colour = unemploy)) +
  ggplot2::geom_point() +
  scale_colour_berlin(midpoint = 9000)

Fabio Crameri's corkO Cyclic Color Scheme

Description

Fabio Crameri's corkO Cyclic Color Scheme

Usage

scale_colour_corkO(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "colour"
)

scale_color_corkO(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "colour"
)

scale_fill_corkO(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "fill"
)

Arguments

...

Arguments passed to ggplot2::continuous_scale().

reverse

A logical scalar. Should the resulting vector of colors be reversed?

range

A length-two numeric vector specifying the fraction of the scheme's color domain to keep.

discrete

A logical scalar: should the color scheme be used as a discrete scale?

aesthetics

A character string or vector of character strings listing the name(s) of the aesthetic(s) that this scale works with.

Value

A continuous scale.

Diverging Color Schemes

If more colors than defined are needed from a given scheme, the color coordinates are linearly interpolated to provide a continuous version of the scheme.

Palette Max.
broc 256
cork 256
vik 256
lisbon 256
tofino 256
berlin 256
roma 256
bam 256
vanimo 256
brocO* 256
corkO* 256
vikO* 256
romaO* 256
bamO* 256

*: cyclic color schemes.

Author(s)

N. Frerebeau

Source

Crameri, F. (2021). Scientific colour maps. Zenodo, v7.0. doi:10.5281/zenodo.4491293

References

Crameri, F. (2018). Geodynamic diagnostics, scientific visualisation and StagLab 3.0. Geosci. Model Dev., 11, 2541-2562. doi:10.5194/gmd-11-2541-2018

Crameri, F., Shephard, G. E. & Heron, P. J. (2020). The misuse of colour in science communication. Nature Communications, 11, 5444. doi:10.1038/s41467-020-19160-7

See Also

Other cyclic color schemes: scale_crameri_bamO, scale_crameri_brocO, scale_crameri_romaO, scale_crameri_vikO

Other Fabio Crameri's color schemes: scale_crameri_acton, scale_crameri_bam, scale_crameri_bamO, scale_crameri_bamako, scale_crameri_batlow, scale_crameri_batlowK, scale_crameri_batlowW, scale_crameri_berlin, scale_crameri_bilbao, scale_crameri_broc, scale_crameri_brocO, scale_crameri_buda, scale_crameri_bukavu, scale_crameri_cork, scale_crameri_davos, scale_crameri_devon, scale_crameri_fes, scale_crameri_grayC, scale_crameri_hawaii, scale_crameri_imola, scale_crameri_lajolla, scale_crameri_lapaz, scale_crameri_lisbon, scale_crameri_nuuk, scale_crameri_oleron, scale_crameri_oslo, scale_crameri_roma, scale_crameri_romaO, scale_crameri_tofino, scale_crameri_tokyo, scale_crameri_turku, scale_crameri_vanimo, scale_crameri_vik, scale_crameri_vikO

Examples

data(economics, package = "ggplot2")

ggplot2::ggplot(economics, ggplot2::aes(psavert, pce, colour = unemploy)) +
  ggplot2::geom_point() +
  scale_colour_broc(reverse = TRUE, midpoint = 12000)

ggplot2::ggplot(economics, ggplot2::aes(psavert, pce, colour = unemploy)) +
  ggplot2::geom_point() +
  scale_colour_berlin(midpoint = 9000)

Fabio Crameri's davos Sequential Color Scheme

Description

Fabio Crameri's davos Sequential Color Scheme

Usage

scale_colour_davos(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "colour"
)

scale_color_davos(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "colour"
)

scale_fill_davos(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "fill"
)

scale_edge_colour_davos(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "edge_colour"
)

scale_edge_color_davos(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "edge_colour"
)

scale_edge_fill_davos(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "edge_fill"
)

Arguments

...

Arguments passed to ggplot2::continuous_scale().

reverse

A logical scalar. Should the resulting vector of colors be reversed?

range

A length-two numeric vector specifying the fraction of the scheme's color domain to keep.

discrete

A logical scalar: should the color scheme be used as a discrete scale?

aesthetics

A character string or vector of character strings listing the name(s) of the aesthetic(s) that this scale works with.

Value

A continuous scale.

Sequential Color Schemes

If more colors than defined are needed from a given scheme, the color coordinates are linearly interpolated to provide a continuous version of the scheme.

Palette Max.
batlow 256
batlowW 256
batlowK 256
devon 256
lajolla 256
bamako 256
davos 256
bilbao 256
nuuk 256
oslo 256
grayC 256
hawaii 256
lapaz 256
tokyo 256
buda 256
acton 256
turku 256
imola 256
oleron* 256
bukavu* 256
fes* 256

*: multisequential color schemes.

Author(s)

N. Frerebeau

Source

Crameri, F. (2021). Scientific colour maps. Zenodo, v7.0. doi:10.5281/zenodo.4491293

References

Crameri, F. (2018). Geodynamic diagnostics, scientific visualisation and StagLab 3.0. Geosci. Model Dev., 11, 2541-2562. doi:10.5194/gmd-11-2541-2018

Crameri, F., Shephard, G. E. & Heron, P. J. (2020). The misuse of colour in science communication. Nature Communications, 11, 5444. doi:10.1038/s41467-020-19160-7

See Also

Other sequential color schemes: scale_crameri_acton, scale_crameri_bamako, scale_crameri_batlow, scale_crameri_batlowK, scale_crameri_batlowW, scale_crameri_bilbao, scale_crameri_buda, scale_crameri_devon, scale_crameri_grayC, scale_crameri_hawaii, scale_crameri_imola, scale_crameri_lajolla, scale_crameri_lapaz, scale_crameri_nuuk, scale_crameri_oslo, scale_crameri_tokyo, scale_crameri_turku, scale_tol_YlOrBr, scale_tol_incandescent, scale_tol_iridescent, scale_tol_smoothrainbow

Other Fabio Crameri's color schemes: scale_crameri_acton, scale_crameri_bam, scale_crameri_bamO, scale_crameri_bamako, scale_crameri_batlow, scale_crameri_batlowK, scale_crameri_batlowW, scale_crameri_berlin, scale_crameri_bilbao, scale_crameri_broc, scale_crameri_brocO, scale_crameri_buda, scale_crameri_bukavu, scale_crameri_cork, scale_crameri_corkO, scale_crameri_devon, scale_crameri_fes, scale_crameri_grayC, scale_crameri_hawaii, scale_crameri_imola, scale_crameri_lajolla, scale_crameri_lapaz, scale_crameri_lisbon, scale_crameri_nuuk, scale_crameri_oleron, scale_crameri_oslo, scale_crameri_roma, scale_crameri_romaO, scale_crameri_tofino, scale_crameri_tokyo, scale_crameri_turku, scale_crameri_vanimo, scale_crameri_vik, scale_crameri_vikO

Examples

data(faithfuld, package = "ggplot2")

ggplot2::ggplot(faithfuld, ggplot2::aes(waiting, eruptions, fill = density)) +
  ggplot2::geom_raster() +
  scale_fill_batlow()

ggplot2::ggplot(faithfuld, ggplot2::aes(waiting, eruptions, fill = density)) +
  ggplot2::geom_raster() +
  scale_fill_bamako()

ggplot2::ggplot(faithfuld, ggplot2::aes(waiting, eruptions, fill = density)) +
  ggplot2::geom_raster() +
  scale_fill_hawaii(reverse = TRUE)

Fabio Crameri's devon Sequential Color Scheme

Description

Fabio Crameri's devon Sequential Color Scheme

Usage

scale_colour_devon(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "colour"
)

scale_color_devon(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "colour"
)

scale_fill_devon(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "fill"
)

scale_edge_colour_devon(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "edge_colour"
)

scale_edge_color_devon(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "edge_colour"
)

scale_edge_fill_devon(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "edge_fill"
)

Arguments

...

Arguments passed to ggplot2::continuous_scale().

reverse

A logical scalar. Should the resulting vector of colors be reversed?

range

A length-two numeric vector specifying the fraction of the scheme's color domain to keep.

discrete

A logical scalar: should the color scheme be used as a discrete scale?

aesthetics

A character string or vector of character strings listing the name(s) of the aesthetic(s) that this scale works with.

Value

A continuous scale.

Sequential Color Schemes

If more colors than defined are needed from a given scheme, the color coordinates are linearly interpolated to provide a continuous version of the scheme.

Palette Max.
batlow 256
batlowW 256
batlowK 256
devon 256
lajolla 256
bamako 256
davos 256
bilbao 256
nuuk 256
oslo 256
grayC 256
hawaii 256
lapaz 256
tokyo 256
buda 256
acton 256
turku 256
imola 256
oleron* 256
bukavu* 256
fes* 256

*: multisequential color schemes.

Author(s)

N. Frerebeau

Source

Crameri, F. (2021). Scientific colour maps. Zenodo, v7.0. doi:10.5281/zenodo.4491293

References

Crameri, F. (2018). Geodynamic diagnostics, scientific visualisation and StagLab 3.0. Geosci. Model Dev., 11, 2541-2562. doi:10.5194/gmd-11-2541-2018

Crameri, F., Shephard, G. E. & Heron, P. J. (2020). The misuse of colour in science communication. Nature Communications, 11, 5444. doi:10.1038/s41467-020-19160-7

See Also

Other sequential color schemes: scale_crameri_acton, scale_crameri_bamako, scale_crameri_batlow, scale_crameri_batlowK, scale_crameri_batlowW, scale_crameri_bilbao, scale_crameri_buda, scale_crameri_davos, scale_crameri_grayC, scale_crameri_hawaii, scale_crameri_imola, scale_crameri_lajolla, scale_crameri_lapaz, scale_crameri_nuuk, scale_crameri_oslo, scale_crameri_tokyo, scale_crameri_turku, scale_tol_YlOrBr, scale_tol_incandescent, scale_tol_iridescent, scale_tol_smoothrainbow

Other Fabio Crameri's color schemes: scale_crameri_acton, scale_crameri_bam, scale_crameri_bamO, scale_crameri_bamako, scale_crameri_batlow, scale_crameri_batlowK, scale_crameri_batlowW, scale_crameri_berlin, scale_crameri_bilbao, scale_crameri_broc, scale_crameri_brocO, scale_crameri_buda, scale_crameri_bukavu, scale_crameri_cork, scale_crameri_corkO, scale_crameri_davos, scale_crameri_fes, scale_crameri_grayC, scale_crameri_hawaii, scale_crameri_imola, scale_crameri_lajolla, scale_crameri_lapaz, scale_crameri_lisbon, scale_crameri_nuuk, scale_crameri_oleron, scale_crameri_oslo, scale_crameri_roma, scale_crameri_romaO, scale_crameri_tofino, scale_crameri_tokyo, scale_crameri_turku, scale_crameri_vanimo, scale_crameri_vik, scale_crameri_vikO

Examples

data(faithfuld, package = "ggplot2")

ggplot2::ggplot(faithfuld, ggplot2::aes(waiting, eruptions, fill = density)) +
  ggplot2::geom_raster() +
  scale_fill_batlow()

ggplot2::ggplot(faithfuld, ggplot2::aes(waiting, eruptions, fill = density)) +
  ggplot2::geom_raster() +
  scale_fill_bamako()

ggplot2::ggplot(faithfuld, ggplot2::aes(waiting, eruptions, fill = density)) +
  ggplot2::geom_raster() +
  scale_fill_hawaii(reverse = TRUE)

Fabio Crameri's fes Multi-Sequential Color Scheme

Description

Fabio Crameri's fes Multi-Sequential Color Scheme

Usage

scale_colour_fes(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  midpoint = 0,
  aesthetics = "colour"
)

scale_color_fes(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  midpoint = 0,
  aesthetics = "colour"
)

scale_fill_fes(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  midpoint = 0,
  aesthetics = "fill"
)

Arguments

...

Arguments passed to ggplot2::continuous_scale().

reverse

A logical scalar. Should the resulting vector of colors be reversed?

range

A length-two numeric vector specifying the fraction of the scheme's color domain to keep.

midpoint

A length-one numeric vector giving the midpoint (in data value) of the diverging scale. Defaults to 0.

aesthetics

A character string or vector of character strings listing the name(s) of the aesthetic(s) that this scale works with.

Value

A continuous scale.

Sequential Color Schemes

If more colors than defined are needed from a given scheme, the color coordinates are linearly interpolated to provide a continuous version of the scheme.

Palette Max.
batlow 256
batlowW 256
batlowK 256
devon 256
lajolla 256
bamako 256
davos 256
bilbao 256
nuuk 256
oslo 256
grayC 256
hawaii 256
lapaz 256
tokyo 256
buda 256
acton 256
turku 256
imola 256
oleron* 256
bukavu* 256
fes* 256

*: multisequential color schemes.

Author(s)

N. Frerebeau

Source

Crameri, F. (2021). Scientific colour maps. Zenodo, v7.0. doi:10.5281/zenodo.4491293

References

Crameri, F. (2018). Geodynamic diagnostics, scientific visualisation and StagLab 3.0. Geosci. Model Dev., 11, 2541-2562. doi:10.5194/gmd-11-2541-2018

Crameri, F., Shephard, G. E. & Heron, P. J. (2020). The misuse of colour in science communication. Nature Communications, 11, 5444. doi:10.1038/s41467-020-19160-7

See Also

Other multi sequential color schemes: scale_crameri_bukavu, scale_crameri_oleron

Other Fabio Crameri's color schemes: scale_crameri_acton, scale_crameri_bam, scale_crameri_bamO, scale_crameri_bamako, scale_crameri_batlow, scale_crameri_batlowK, scale_crameri_batlowW, scale_crameri_berlin, scale_crameri_bilbao, scale_crameri_broc, scale_crameri_brocO, scale_crameri_buda, scale_crameri_bukavu, scale_crameri_cork, scale_crameri_corkO, scale_crameri_davos, scale_crameri_devon, scale_crameri_grayC, scale_crameri_hawaii, scale_crameri_imola, scale_crameri_lajolla, scale_crameri_lapaz, scale_crameri_lisbon, scale_crameri_nuuk, scale_crameri_oleron, scale_crameri_oslo, scale_crameri_roma, scale_crameri_romaO, scale_crameri_tofino, scale_crameri_tokyo, scale_crameri_turku, scale_crameri_vanimo, scale_crameri_vik, scale_crameri_vikO

Examples

data(volcano)

volcan <- data.frame(
  x = rep(1:ncol(volcano), each = nrow(volcano)),
  y = rep(1:nrow(volcano), times = ncol(volcano)),
  z = as.numeric(volcano)
)

ggplot2::ggplot(volcan, ggplot2::aes(x, y, fill = z)) +
  ggplot2::geom_raster() +
  scale_fill_oleron(midpoint = 125)

Fabio Crameri's grayC Sequential Color Scheme

Description

Fabio Crameri's grayC Sequential Color Scheme

Usage

scale_colour_grayC(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "colour"
)

scale_color_grayC(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "colour"
)

scale_fill_grayC(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "fill"
)

scale_edge_colour_grayC(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "edge_colour"
)

scale_edge_color_grayC(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "edge_colour"
)

scale_edge_fill_grayC(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "edge_fill"
)

Arguments

...

Arguments passed to ggplot2::continuous_scale().

reverse

A logical scalar. Should the resulting vector of colors be reversed?

range

A length-two numeric vector specifying the fraction of the scheme's color domain to keep.

discrete

A logical scalar: should the color scheme be used as a discrete scale?

aesthetics

A character string or vector of character strings listing the name(s) of the aesthetic(s) that this scale works with.

Value

A continuous scale.

Sequential Color Schemes

If more colors than defined are needed from a given scheme, the color coordinates are linearly interpolated to provide a continuous version of the scheme.

Palette Max.
batlow 256
batlowW 256
batlowK 256
devon 256
lajolla 256
bamako 256
davos 256
bilbao 256
nuuk 256
oslo 256
grayC 256
hawaii 256
lapaz 256
tokyo 256
buda 256
acton 256
turku 256
imola 256
oleron* 256
bukavu* 256
fes* 256

*: multisequential color schemes.

Author(s)

N. Frerebeau

Source

Crameri, F. (2021). Scientific colour maps. Zenodo, v7.0. doi:10.5281/zenodo.4491293

References

Crameri, F. (2018). Geodynamic diagnostics, scientific visualisation and StagLab 3.0. Geosci. Model Dev., 11, 2541-2562. doi:10.5194/gmd-11-2541-2018

Crameri, F., Shephard, G. E. & Heron, P. J. (2020). The misuse of colour in science communication. Nature Communications, 11, 5444. doi:10.1038/s41467-020-19160-7

See Also

Other sequential color schemes: scale_crameri_acton, scale_crameri_bamako, scale_crameri_batlow, scale_crameri_batlowK, scale_crameri_batlowW, scale_crameri_bilbao, scale_crameri_buda, scale_crameri_davos, scale_crameri_devon, scale_crameri_hawaii, scale_crameri_imola, scale_crameri_lajolla, scale_crameri_lapaz, scale_crameri_nuuk, scale_crameri_oslo, scale_crameri_tokyo, scale_crameri_turku, scale_tol_YlOrBr, scale_tol_incandescent, scale_tol_iridescent, scale_tol_smoothrainbow

Other Fabio Crameri's color schemes: scale_crameri_acton, scale_crameri_bam, scale_crameri_bamO, scale_crameri_bamako, scale_crameri_batlow, scale_crameri_batlowK, scale_crameri_batlowW, scale_crameri_berlin, scale_crameri_bilbao, scale_crameri_broc, scale_crameri_brocO, scale_crameri_buda, scale_crameri_bukavu, scale_crameri_cork, scale_crameri_corkO, scale_crameri_davos, scale_crameri_devon, scale_crameri_fes, scale_crameri_hawaii, scale_crameri_imola, scale_crameri_lajolla, scale_crameri_lapaz, scale_crameri_lisbon, scale_crameri_nuuk, scale_crameri_oleron, scale_crameri_oslo, scale_crameri_roma, scale_crameri_romaO, scale_crameri_tofino, scale_crameri_tokyo, scale_crameri_turku, scale_crameri_vanimo, scale_crameri_vik, scale_crameri_vikO

Examples

data(faithfuld, package = "ggplot2")

ggplot2::ggplot(faithfuld, ggplot2::aes(waiting, eruptions, fill = density)) +
  ggplot2::geom_raster() +
  scale_fill_batlow()

ggplot2::ggplot(faithfuld, ggplot2::aes(waiting, eruptions, fill = density)) +
  ggplot2::geom_raster() +
  scale_fill_bamako()

ggplot2::ggplot(faithfuld, ggplot2::aes(waiting, eruptions, fill = density)) +
  ggplot2::geom_raster() +
  scale_fill_hawaii(reverse = TRUE)

Fabio Crameri's hawaii Sequential Color Scheme

Description

Fabio Crameri's hawaii Sequential Color Scheme

Usage

scale_colour_hawaii(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "colour"
)

scale_color_hawaii(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "colour"
)

scale_fill_hawaii(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "fill"
)

scale_edge_colour_hawaii(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "edge_colour"
)

scale_edge_color_hawaii(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "edge_colour"
)

scale_edge_fill_hawaii(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "edge_fill"
)

Arguments

...

Arguments passed to ggplot2::continuous_scale().

reverse

A logical scalar. Should the resulting vector of colors be reversed?

range

A length-two numeric vector specifying the fraction of the scheme's color domain to keep.

discrete

A logical scalar: should the color scheme be used as a discrete scale?

aesthetics

A character string or vector of character strings listing the name(s) of the aesthetic(s) that this scale works with.

Value

A continuous scale.

Sequential Color Schemes

If more colors than defined are needed from a given scheme, the color coordinates are linearly interpolated to provide a continuous version of the scheme.

Palette Max.
batlow 256
batlowW 256
batlowK 256
devon 256
lajolla 256
bamako 256
davos 256
bilbao 256
nuuk 256
oslo 256
grayC 256
hawaii 256
lapaz 256
tokyo 256
buda 256
acton 256
turku 256
imola 256
oleron* 256
bukavu* 256
fes* 256

*: multisequential color schemes.

Author(s)

N. Frerebeau

Source

Crameri, F. (2021). Scientific colour maps. Zenodo, v7.0. doi:10.5281/zenodo.4491293

References

Crameri, F. (2018). Geodynamic diagnostics, scientific visualisation and StagLab 3.0. Geosci. Model Dev., 11, 2541-2562. doi:10.5194/gmd-11-2541-2018

Crameri, F., Shephard, G. E. & Heron, P. J. (2020). The misuse of colour in science communication. Nature Communications, 11, 5444. doi:10.1038/s41467-020-19160-7

See Also

Other sequential color schemes: scale_crameri_acton, scale_crameri_bamako, scale_crameri_batlow, scale_crameri_batlowK, scale_crameri_batlowW, scale_crameri_bilbao, scale_crameri_buda, scale_crameri_davos, scale_crameri_devon, scale_crameri_grayC, scale_crameri_imola, scale_crameri_lajolla, scale_crameri_lapaz, scale_crameri_nuuk, scale_crameri_oslo, scale_crameri_tokyo, scale_crameri_turku, scale_tol_YlOrBr, scale_tol_incandescent, scale_tol_iridescent, scale_tol_smoothrainbow

Other Fabio Crameri's color schemes: scale_crameri_acton, scale_crameri_bam, scale_crameri_bamO, scale_crameri_bamako, scale_crameri_batlow, scale_crameri_batlowK, scale_crameri_batlowW, scale_crameri_berlin, scale_crameri_bilbao, scale_crameri_broc, scale_crameri_brocO, scale_crameri_buda, scale_crameri_bukavu, scale_crameri_cork, scale_crameri_corkO, scale_crameri_davos, scale_crameri_devon, scale_crameri_fes, scale_crameri_grayC, scale_crameri_imola, scale_crameri_lajolla, scale_crameri_lapaz, scale_crameri_lisbon, scale_crameri_nuuk, scale_crameri_oleron, scale_crameri_oslo, scale_crameri_roma, scale_crameri_romaO, scale_crameri_tofino, scale_crameri_tokyo, scale_crameri_turku, scale_crameri_vanimo, scale_crameri_vik, scale_crameri_vikO

Examples

data(faithfuld, package = "ggplot2")

ggplot2::ggplot(faithfuld, ggplot2::aes(waiting, eruptions, fill = density)) +
  ggplot2::geom_raster() +
  scale_fill_batlow()

ggplot2::ggplot(faithfuld, ggplot2::aes(waiting, eruptions, fill = density)) +
  ggplot2::geom_raster() +
  scale_fill_bamako()

ggplot2::ggplot(faithfuld, ggplot2::aes(waiting, eruptions, fill = density)) +
  ggplot2::geom_raster() +
  scale_fill_hawaii(reverse = TRUE)

Fabio Crameri's imola Sequential Color Scheme

Description

Fabio Crameri's imola Sequential Color Scheme

Usage

scale_colour_imola(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "colour"
)

scale_color_imola(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "colour"
)

scale_fill_imola(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "fill"
)

scale_edge_colour_imola(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "edge_colour"
)

scale_edge_color_imola(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "edge_colour"
)

scale_edge_fill_imola(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "edge_fill"
)

Arguments

...

Arguments passed to ggplot2::continuous_scale().

reverse

A logical scalar. Should the resulting vector of colors be reversed?

range

A length-two numeric vector specifying the fraction of the scheme's color domain to keep.

discrete

A logical scalar: should the color scheme be used as a discrete scale?

aesthetics

A character string or vector of character strings listing the name(s) of the aesthetic(s) that this scale works with.

Value

A continuous scale.

Sequential Color Schemes

If more colors than defined are needed from a given scheme, the color coordinates are linearly interpolated to provide a continuous version of the scheme.

Palette Max.
batlow 256
batlowW 256
batlowK 256
devon 256
lajolla 256
bamako 256
davos 256
bilbao 256
nuuk 256
oslo 256
grayC 256
hawaii 256
lapaz 256
tokyo 256
buda 256
acton 256
turku 256
imola 256
oleron* 256
bukavu* 256
fes* 256

*: multisequential color schemes.

Author(s)

N. Frerebeau

Source

Crameri, F. (2021). Scientific colour maps. Zenodo, v7.0. doi:10.5281/zenodo.4491293

References

Crameri, F. (2018). Geodynamic diagnostics, scientific visualisation and StagLab 3.0. Geosci. Model Dev., 11, 2541-2562. doi:10.5194/gmd-11-2541-2018

Crameri, F., Shephard, G. E. & Heron, P. J. (2020). The misuse of colour in science communication. Nature Communications, 11, 5444. doi:10.1038/s41467-020-19160-7

See Also

Other sequential color schemes: scale_crameri_acton, scale_crameri_bamako, scale_crameri_batlow, scale_crameri_batlowK, scale_crameri_batlowW, scale_crameri_bilbao, scale_crameri_buda, scale_crameri_davos, scale_crameri_devon, scale_crameri_grayC, scale_crameri_hawaii, scale_crameri_lajolla, scale_crameri_lapaz, scale_crameri_nuuk, scale_crameri_oslo, scale_crameri_tokyo, scale_crameri_turku, scale_tol_YlOrBr, scale_tol_incandescent, scale_tol_iridescent, scale_tol_smoothrainbow

Other Fabio Crameri's color schemes: scale_crameri_acton, scale_crameri_bam, scale_crameri_bamO, scale_crameri_bamako, scale_crameri_batlow, scale_crameri_batlowK, scale_crameri_batlowW, scale_crameri_berlin, scale_crameri_bilbao, scale_crameri_broc, scale_crameri_brocO, scale_crameri_buda, scale_crameri_bukavu, scale_crameri_cork, scale_crameri_corkO, scale_crameri_davos, scale_crameri_devon, scale_crameri_fes, scale_crameri_grayC, scale_crameri_hawaii, scale_crameri_lajolla, scale_crameri_lapaz, scale_crameri_lisbon, scale_crameri_nuuk, scale_crameri_oleron, scale_crameri_oslo, scale_crameri_roma, scale_crameri_romaO, scale_crameri_tofino, scale_crameri_tokyo, scale_crameri_turku, scale_crameri_vanimo, scale_crameri_vik, scale_crameri_vikO

Examples

data(faithfuld, package = "ggplot2")

ggplot2::ggplot(faithfuld, ggplot2::aes(waiting, eruptions, fill = density)) +
  ggplot2::geom_raster() +
  scale_fill_batlow()

ggplot2::ggplot(faithfuld, ggplot2::aes(waiting, eruptions, fill = density)) +
  ggplot2::geom_raster() +
  scale_fill_bamako()

ggplot2::ggplot(faithfuld, ggplot2::aes(waiting, eruptions, fill = density)) +
  ggplot2::geom_raster() +
  scale_fill_hawaii(reverse = TRUE)

Fabio Crameri's lajolla Sequential Color Scheme

Description

Fabio Crameri's lajolla Sequential Color Scheme

Usage

scale_colour_lajolla(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "colour"
)

scale_color_lajolla(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "colour"
)

scale_fill_lajolla(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "fill"
)

scale_edge_colour_lajolla(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "edge_colour"
)

scale_edge_color_lajolla(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "edge_colour"
)

scale_edge_fill_lajolla(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "edge_fill"
)

Arguments

...

Arguments passed to ggplot2::continuous_scale().

reverse

A logical scalar. Should the resulting vector of colors be reversed?

range

A length-two numeric vector specifying the fraction of the scheme's color domain to keep.

discrete

A logical scalar: should the color scheme be used as a discrete scale?

aesthetics

A character string or vector of character strings listing the name(s) of the aesthetic(s) that this scale works with.

Value

A continuous scale.

Sequential Color Schemes

If more colors than defined are needed from a given scheme, the color coordinates are linearly interpolated to provide a continuous version of the scheme.

Palette Max.
batlow 256
batlowW 256
batlowK 256
devon 256
lajolla 256
bamako 256
davos 256
bilbao 256
nuuk 256
oslo 256
grayC 256
hawaii 256
lapaz 256
tokyo 256
buda 256
acton 256
turku 256
imola 256
oleron* 256
bukavu* 256
fes* 256

*: multisequential color schemes.

Author(s)

N. Frerebeau

Source

Crameri, F. (2021). Scientific colour maps. Zenodo, v7.0. doi:10.5281/zenodo.4491293

References

Crameri, F. (2018). Geodynamic diagnostics, scientific visualisation and StagLab 3.0. Geosci. Model Dev., 11, 2541-2562. doi:10.5194/gmd-11-2541-2018

Crameri, F., Shephard, G. E. & Heron, P. J. (2020). The misuse of colour in science communication. Nature Communications, 11, 5444. doi:10.1038/s41467-020-19160-7

See Also

Other sequential color schemes: scale_crameri_acton, scale_crameri_bamako, scale_crameri_batlow, scale_crameri_batlowK, scale_crameri_batlowW, scale_crameri_bilbao, scale_crameri_buda, scale_crameri_davos, scale_crameri_devon, scale_crameri_grayC, scale_crameri_hawaii, scale_crameri_imola, scale_crameri_lapaz, scale_crameri_nuuk, scale_crameri_oslo, scale_crameri_tokyo, scale_crameri_turku, scale_tol_YlOrBr, scale_tol_incandescent, scale_tol_iridescent, scale_tol_smoothrainbow

Other Fabio Crameri's color schemes: scale_crameri_acton, scale_crameri_bam, scale_crameri_bamO, scale_crameri_bamako, scale_crameri_batlow, scale_crameri_batlowK, scale_crameri_batlowW, scale_crameri_berlin, scale_crameri_bilbao, scale_crameri_broc, scale_crameri_brocO, scale_crameri_buda, scale_crameri_bukavu, scale_crameri_cork, scale_crameri_corkO, scale_crameri_davos, scale_crameri_devon, scale_crameri_fes, scale_crameri_grayC, scale_crameri_hawaii, scale_crameri_imola, scale_crameri_lapaz, scale_crameri_lisbon, scale_crameri_nuuk, scale_crameri_oleron, scale_crameri_oslo, scale_crameri_roma, scale_crameri_romaO, scale_crameri_tofino, scale_crameri_tokyo, scale_crameri_turku, scale_crameri_vanimo, scale_crameri_vik, scale_crameri_vikO

Examples

data(faithfuld, package = "ggplot2")

ggplot2::ggplot(faithfuld, ggplot2::aes(waiting, eruptions, fill = density)) +
  ggplot2::geom_raster() +
  scale_fill_batlow()

ggplot2::ggplot(faithfuld, ggplot2::aes(waiting, eruptions, fill = density)) +
  ggplot2::geom_raster() +
  scale_fill_bamako()

ggplot2::ggplot(faithfuld, ggplot2::aes(waiting, eruptions, fill = density)) +
  ggplot2::geom_raster() +
  scale_fill_hawaii(reverse = TRUE)

Fabio Crameri's lapaz Sequential Color Scheme

Description

Fabio Crameri's lapaz Sequential Color Scheme

Usage

scale_colour_lapaz(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "colour"
)

scale_color_lapaz(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "colour"
)

scale_fill_lapaz(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "fill"
)

scale_edge_colour_lapaz(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "edge_colour"
)

scale_edge_color_lapaz(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "edge_colour"
)

scale_edge_fill_lapaz(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "edge_fill"
)

Arguments

...

Arguments passed to ggplot2::continuous_scale().

reverse

A logical scalar. Should the resulting vector of colors be reversed?

range

A length-two numeric vector specifying the fraction of the scheme's color domain to keep.

discrete

A logical scalar: should the color scheme be used as a discrete scale?

aesthetics

A character string or vector of character strings listing the name(s) of the aesthetic(s) that this scale works with.

Value

A continuous scale.

Sequential Color Schemes

If more colors than defined are needed from a given scheme, the color coordinates are linearly interpolated to provide a continuous version of the scheme.

Palette Max.
batlow 256
batlowW 256
batlowK 256
devon 256
lajolla 256
bamako 256
davos 256
bilbao 256
nuuk 256
oslo 256
grayC 256
hawaii 256
lapaz 256
tokyo 256
buda 256
acton 256
turku 256
imola 256
oleron* 256
bukavu* 256
fes* 256

*: multisequential color schemes.

Author(s)

N. Frerebeau

Source

Crameri, F. (2021). Scientific colour maps. Zenodo, v7.0. doi:10.5281/zenodo.4491293

References

Crameri, F. (2018). Geodynamic diagnostics, scientific visualisation and StagLab 3.0. Geosci. Model Dev., 11, 2541-2562. doi:10.5194/gmd-11-2541-2018

Crameri, F., Shephard, G. E. & Heron, P. J. (2020). The misuse of colour in science communication. Nature Communications, 11, 5444. doi:10.1038/s41467-020-19160-7

See Also

Other sequential color schemes: scale_crameri_acton, scale_crameri_bamako, scale_crameri_batlow, scale_crameri_batlowK, scale_crameri_batlowW, scale_crameri_bilbao, scale_crameri_buda, scale_crameri_davos, scale_crameri_devon, scale_crameri_grayC, scale_crameri_hawaii, scale_crameri_imola, scale_crameri_lajolla, scale_crameri_nuuk, scale_crameri_oslo, scale_crameri_tokyo, scale_crameri_turku, scale_tol_YlOrBr, scale_tol_incandescent, scale_tol_iridescent, scale_tol_smoothrainbow

Other Fabio Crameri's color schemes: scale_crameri_acton, scale_crameri_bam, scale_crameri_bamO, scale_crameri_bamako, scale_crameri_batlow, scale_crameri_batlowK, scale_crameri_batlowW, scale_crameri_berlin, scale_crameri_bilbao, scale_crameri_broc, scale_crameri_brocO, scale_crameri_buda, scale_crameri_bukavu, scale_crameri_cork, scale_crameri_corkO, scale_crameri_davos, scale_crameri_devon, scale_crameri_fes, scale_crameri_grayC, scale_crameri_hawaii, scale_crameri_imola, scale_crameri_lajolla, scale_crameri_lisbon, scale_crameri_nuuk, scale_crameri_oleron, scale_crameri_oslo, scale_crameri_roma, scale_crameri_romaO, scale_crameri_tofino, scale_crameri_tokyo, scale_crameri_turku, scale_crameri_vanimo, scale_crameri_vik, scale_crameri_vikO

Examples

data(faithfuld, package = "ggplot2")

ggplot2::ggplot(faithfuld, ggplot2::aes(waiting, eruptions, fill = density)) +
  ggplot2::geom_raster() +
  scale_fill_batlow()

ggplot2::ggplot(faithfuld, ggplot2::aes(waiting, eruptions, fill = density)) +
  ggplot2::geom_raster() +
  scale_fill_bamako()

ggplot2::ggplot(faithfuld, ggplot2::aes(waiting, eruptions, fill = density)) +
  ggplot2::geom_raster() +
  scale_fill_hawaii(reverse = TRUE)

Fabio Crameri's lisbon Diverging Color Scheme

Description

Fabio Crameri's lisbon Diverging Color Scheme

Usage

scale_colour_lisbon(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  midpoint = 0,
  discrete = FALSE,
  aesthetics = "colour"
)

scale_color_lisbon(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  midpoint = 0,
  discrete = FALSE,
  aesthetics = "colour"
)

scale_fill_lisbon(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  midpoint = 0,
  discrete = FALSE,
  aesthetics = "fill"
)

scale_edge_colour_lisbon(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  midpoint = 0,
  discrete = FALSE,
  aesthetics = "edge_colour"
)

scale_edge_color_lisbon(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  midpoint = 0,
  discrete = FALSE,
  aesthetics = "edge_colour"
)

scale_edge_fill_lisbon(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  midpoint = 0,
  discrete = FALSE,
  aesthetics = "edge_fill"
)

Arguments

...

Arguments passed to ggplot2::continuous_scale().

reverse

A logical scalar. Should the resulting vector of colors be reversed?

range

A length-two numeric vector specifying the fraction of the scheme's color domain to keep.

midpoint

A length-one numeric vector giving the midpoint (in data value) of the diverging scale. Defaults to 0.

discrete

A logical scalar: should the color scheme be used as a discrete scale?

aesthetics

A character string or vector of character strings listing the name(s) of the aesthetic(s) that this scale works with.

Value

A continuous scale.

Diverging Color Schemes

If more colors than defined are needed from a given scheme, the color coordinates are linearly interpolated to provide a continuous version of the scheme.

Palette Max.
broc 256
cork 256
vik 256
lisbon 256
tofino 256
berlin 256
roma 256
bam 256
vanimo 256
brocO* 256
corkO* 256
vikO* 256
romaO* 256
bamO* 256

*: cyclic color schemes.

Author(s)

N. Frerebeau

Source

Crameri, F. (2021). Scientific colour maps. Zenodo, v7.0. doi:10.5281/zenodo.4491293

References

Crameri, F. (2018). Geodynamic diagnostics, scientific visualisation and StagLab 3.0. Geosci. Model Dev., 11, 2541-2562. doi:10.5194/gmd-11-2541-2018

Crameri, F., Shephard, G. E. & Heron, P. J. (2020). The misuse of colour in science communication. Nature Communications, 11, 5444. doi:10.1038/s41467-020-19160-7

See Also

Other diverging color schemes: scale_crameri_bam, scale_crameri_berlin, scale_crameri_broc, scale_crameri_cork, scale_crameri_roma, scale_crameri_tofino, scale_crameri_vanimo, scale_crameri_vik, scale_tol_BuRd, scale_tol_PRGn, scale_tol_nightfall, scale_tol_sunset

Other Fabio Crameri's color schemes: scale_crameri_acton, scale_crameri_bam, scale_crameri_bamO, scale_crameri_bamako, scale_crameri_batlow, scale_crameri_batlowK, scale_crameri_batlowW, scale_crameri_berlin, scale_crameri_bilbao, scale_crameri_broc, scale_crameri_brocO, scale_crameri_buda, scale_crameri_bukavu, scale_crameri_cork, scale_crameri_corkO, scale_crameri_davos, scale_crameri_devon, scale_crameri_fes, scale_crameri_grayC, scale_crameri_hawaii, scale_crameri_imola, scale_crameri_lajolla, scale_crameri_lapaz, scale_crameri_nuuk, scale_crameri_oleron, scale_crameri_oslo, scale_crameri_roma, scale_crameri_romaO, scale_crameri_tofino, scale_crameri_tokyo, scale_crameri_turku, scale_crameri_vanimo, scale_crameri_vik, scale_crameri_vikO

Examples

data(economics, package = "ggplot2")

ggplot2::ggplot(economics, ggplot2::aes(psavert, pce, colour = unemploy)) +
  ggplot2::geom_point() +
  scale_colour_broc(reverse = TRUE, midpoint = 12000)

ggplot2::ggplot(economics, ggplot2::aes(psavert, pce, colour = unemploy)) +
  ggplot2::geom_point() +
  scale_colour_berlin(midpoint = 9000)

Fabio Crameri's nuuk Sequential Color Scheme

Description

Fabio Crameri's nuuk Sequential Color Scheme

Usage

scale_colour_nuuk(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "colour"
)

scale_color_nuuk(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "colour"
)

scale_fill_nuuk(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "fill"
)

scale_edge_colour_nuuk(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "edge_colour"
)

scale_edge_color_nuuk(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "edge_colour"
)

scale_edge_fill_nuuk(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "edge_fill"
)

Arguments

...

Arguments passed to ggplot2::continuous_scale().

reverse

A logical scalar. Should the resulting vector of colors be reversed?

range

A length-two numeric vector specifying the fraction of the scheme's color domain to keep.

discrete

A logical scalar: should the color scheme be used as a discrete scale?

aesthetics

A character string or vector of character strings listing the name(s) of the aesthetic(s) that this scale works with.

Value

A continuous scale.

Sequential Color Schemes

If more colors than defined are needed from a given scheme, the color coordinates are linearly interpolated to provide a continuous version of the scheme.

Palette Max.
batlow 256
batlowW 256
batlowK 256
devon 256
lajolla 256
bamako 256
davos 256
bilbao 256
nuuk 256
oslo 256
grayC 256
hawaii 256
lapaz 256
tokyo 256
buda 256
acton 256
turku 256
imola 256
oleron* 256
bukavu* 256
fes* 256

*: multisequential color schemes.

Author(s)

N. Frerebeau

Source

Crameri, F. (2021). Scientific colour maps. Zenodo, v7.0. doi:10.5281/zenodo.4491293

References

Crameri, F. (2018). Geodynamic diagnostics, scientific visualisation and StagLab 3.0. Geosci. Model Dev., 11, 2541-2562. doi:10.5194/gmd-11-2541-2018

Crameri, F., Shephard, G. E. & Heron, P. J. (2020). The misuse of colour in science communication. Nature Communications, 11, 5444. doi:10.1038/s41467-020-19160-7

See Also

Other sequential color schemes: scale_crameri_acton, scale_crameri_bamako, scale_crameri_batlow, scale_crameri_batlowK, scale_crameri_batlowW, scale_crameri_bilbao, scale_crameri_buda, scale_crameri_davos, scale_crameri_devon, scale_crameri_grayC, scale_crameri_hawaii, scale_crameri_imola, scale_crameri_lajolla, scale_crameri_lapaz, scale_crameri_oslo, scale_crameri_tokyo, scale_crameri_turku, scale_tol_YlOrBr, scale_tol_incandescent, scale_tol_iridescent, scale_tol_smoothrainbow

Other Fabio Crameri's color schemes: scale_crameri_acton, scale_crameri_bam, scale_crameri_bamO, scale_crameri_bamako, scale_crameri_batlow, scale_crameri_batlowK, scale_crameri_batlowW, scale_crameri_berlin, scale_crameri_bilbao, scale_crameri_broc, scale_crameri_brocO, scale_crameri_buda, scale_crameri_bukavu, scale_crameri_cork, scale_crameri_corkO, scale_crameri_davos, scale_crameri_devon, scale_crameri_fes, scale_crameri_grayC, scale_crameri_hawaii, scale_crameri_imola, scale_crameri_lajolla, scale_crameri_lapaz, scale_crameri_lisbon, scale_crameri_oleron, scale_crameri_oslo, scale_crameri_roma, scale_crameri_romaO, scale_crameri_tofino, scale_crameri_tokyo, scale_crameri_turku, scale_crameri_vanimo, scale_crameri_vik, scale_crameri_vikO

Examples

data(faithfuld, package = "ggplot2")

ggplot2::ggplot(faithfuld, ggplot2::aes(waiting, eruptions, fill = density)) +
  ggplot2::geom_raster() +
  scale_fill_batlow()

ggplot2::ggplot(faithfuld, ggplot2::aes(waiting, eruptions, fill = density)) +
  ggplot2::geom_raster() +
  scale_fill_bamako()

ggplot2::ggplot(faithfuld, ggplot2::aes(waiting, eruptions, fill = density)) +
  ggplot2::geom_raster() +
  scale_fill_hawaii(reverse = TRUE)

Fabio Crameri's oleron Multi-Sequential Color Scheme

Description

Fabio Crameri's oleron Multi-Sequential Color Scheme

Usage

scale_colour_oleron(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  midpoint = 0,
  aesthetics = "colour"
)

scale_color_oleron(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  midpoint = 0,
  aesthetics = "colour"
)

scale_fill_oleron(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  midpoint = 0,
  aesthetics = "fill"
)

Arguments

...

Arguments passed to ggplot2::continuous_scale().

reverse

A logical scalar. Should the resulting vector of colors be reversed?

range

A length-two numeric vector specifying the fraction of the scheme's color domain to keep.

midpoint

A length-one numeric vector giving the midpoint (in data value) of the diverging scale. Defaults to 0.

aesthetics

A character string or vector of character strings listing the name(s) of the aesthetic(s) that this scale works with.

Value

A continuous scale.

Sequential Color Schemes

If more colors than defined are needed from a given scheme, the color coordinates are linearly interpolated to provide a continuous version of the scheme.

Palette Max.
batlow 256
batlowW 256
batlowK 256
devon 256
lajolla 256
bamako 256
davos 256
bilbao 256
nuuk 256
oslo 256
grayC 256
hawaii 256
lapaz 256
tokyo 256
buda 256
acton 256
turku 256
imola 256
oleron* 256
bukavu* 256
fes* 256

*: multisequential color schemes.

Author(s)

N. Frerebeau

Source

Crameri, F. (2021). Scientific colour maps. Zenodo, v7.0. doi:10.5281/zenodo.4491293

References

Crameri, F. (2018). Geodynamic diagnostics, scientific visualisation and StagLab 3.0. Geosci. Model Dev., 11, 2541-2562. doi:10.5194/gmd-11-2541-2018

Crameri, F., Shephard, G. E. & Heron, P. J. (2020). The misuse of colour in science communication. Nature Communications, 11, 5444. doi:10.1038/s41467-020-19160-7

See Also

Other multi sequential color schemes: scale_crameri_bukavu, scale_crameri_fes

Other Fabio Crameri's color schemes: scale_crameri_acton, scale_crameri_bam, scale_crameri_bamO, scale_crameri_bamako, scale_crameri_batlow, scale_crameri_batlowK, scale_crameri_batlowW, scale_crameri_berlin, scale_crameri_bilbao, scale_crameri_broc, scale_crameri_brocO, scale_crameri_buda, scale_crameri_bukavu, scale_crameri_cork, scale_crameri_corkO, scale_crameri_davos, scale_crameri_devon, scale_crameri_fes, scale_crameri_grayC, scale_crameri_hawaii, scale_crameri_imola, scale_crameri_lajolla, scale_crameri_lapaz, scale_crameri_lisbon, scale_crameri_nuuk, scale_crameri_oslo, scale_crameri_roma, scale_crameri_romaO, scale_crameri_tofino, scale_crameri_tokyo, scale_crameri_turku, scale_crameri_vanimo, scale_crameri_vik, scale_crameri_vikO

Examples

data(volcano)

volcan <- data.frame(
  x = rep(1:ncol(volcano), each = nrow(volcano)),
  y = rep(1:nrow(volcano), times = ncol(volcano)),
  z = as.numeric(volcano)
)

ggplot2::ggplot(volcan, ggplot2::aes(x, y, fill = z)) +
  ggplot2::geom_raster() +
  scale_fill_oleron(midpoint = 125)

Fabio Crameri's oslo Sequential Color Scheme

Description

Fabio Crameri's oslo Sequential Color Scheme

Usage

scale_colour_oslo(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "colour"
)

scale_color_oslo(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "colour"
)

scale_fill_oslo(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "fill"
)

scale_edge_colour_oslo(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "edge_colour"
)

scale_edge_color_oslo(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "edge_colour"
)

scale_edge_fill_oslo(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "edge_fill"
)

Arguments

...

Arguments passed to ggplot2::continuous_scale().

reverse

A logical scalar. Should the resulting vector of colors be reversed?

range

A length-two numeric vector specifying the fraction of the scheme's color domain to keep.

discrete

A logical scalar: should the color scheme be used as a discrete scale?

aesthetics

A character string or vector of character strings listing the name(s) of the aesthetic(s) that this scale works with.

Value

A continuous scale.

Sequential Color Schemes

If more colors than defined are needed from a given scheme, the color coordinates are linearly interpolated to provide a continuous version of the scheme.

Palette Max.
batlow 256
batlowW 256
batlowK 256
devon 256
lajolla 256
bamako 256
davos 256
bilbao 256
nuuk 256
oslo 256
grayC 256
hawaii 256
lapaz 256
tokyo 256
buda 256
acton 256
turku 256
imola 256
oleron* 256
bukavu* 256
fes* 256

*: multisequential color schemes.

Author(s)

N. Frerebeau

Source

Crameri, F. (2021). Scientific colour maps. Zenodo, v7.0. doi:10.5281/zenodo.4491293

References

Crameri, F. (2018). Geodynamic diagnostics, scientific visualisation and StagLab 3.0. Geosci. Model Dev., 11, 2541-2562. doi:10.5194/gmd-11-2541-2018

Crameri, F., Shephard, G. E. & Heron, P. J. (2020). The misuse of colour in science communication. Nature Communications, 11, 5444. doi:10.1038/s41467-020-19160-7

See Also

Other sequential color schemes: scale_crameri_acton, scale_crameri_bamako, scale_crameri_batlow, scale_crameri_batlowK, scale_crameri_batlowW, scale_crameri_bilbao, scale_crameri_buda, scale_crameri_davos, scale_crameri_devon, scale_crameri_grayC, scale_crameri_hawaii, scale_crameri_imola, scale_crameri_lajolla, scale_crameri_lapaz, scale_crameri_nuuk, scale_crameri_tokyo, scale_crameri_turku, scale_tol_YlOrBr, scale_tol_incandescent, scale_tol_iridescent, scale_tol_smoothrainbow

Other Fabio Crameri's color schemes: scale_crameri_acton, scale_crameri_bam, scale_crameri_bamO, scale_crameri_bamako, scale_crameri_batlow, scale_crameri_batlowK, scale_crameri_batlowW, scale_crameri_berlin, scale_crameri_bilbao, scale_crameri_broc, scale_crameri_brocO, scale_crameri_buda, scale_crameri_bukavu, scale_crameri_cork, scale_crameri_corkO, scale_crameri_davos, scale_crameri_devon, scale_crameri_fes, scale_crameri_grayC, scale_crameri_hawaii, scale_crameri_imola, scale_crameri_lajolla, scale_crameri_lapaz, scale_crameri_lisbon, scale_crameri_nuuk, scale_crameri_oleron, scale_crameri_roma, scale_crameri_romaO, scale_crameri_tofino, scale_crameri_tokyo, scale_crameri_turku, scale_crameri_vanimo, scale_crameri_vik, scale_crameri_vikO

Examples

data(faithfuld, package = "ggplot2")

ggplot2::ggplot(faithfuld, ggplot2::aes(waiting, eruptions, fill = density)) +
  ggplot2::geom_raster() +
  scale_fill_batlow()

ggplot2::ggplot(faithfuld, ggplot2::aes(waiting, eruptions, fill = density)) +
  ggplot2::geom_raster() +
  scale_fill_bamako()

ggplot2::ggplot(faithfuld, ggplot2::aes(waiting, eruptions, fill = density)) +
  ggplot2::geom_raster() +
  scale_fill_hawaii(reverse = TRUE)

Fabio Crameri's roma Diverging Color Scheme

Description

Fabio Crameri's roma Diverging Color Scheme

Usage

scale_colour_roma(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  midpoint = 0,
  discrete = FALSE,
  aesthetics = "colour"
)

scale_color_roma(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  midpoint = 0,
  discrete = FALSE,
  aesthetics = "colour"
)

scale_fill_roma(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  midpoint = 0,
  discrete = FALSE,
  aesthetics = "fill"
)

scale_edge_colour_roma(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  midpoint = 0,
  discrete = FALSE,
  aesthetics = "edge_colour"
)

scale_edge_color_roma(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  midpoint = 0,
  discrete = FALSE,
  aesthetics = "edge_colour"
)

scale_edge_fill_roma(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  midpoint = 0,
  discrete = FALSE,
  aesthetics = "edge_fill"
)

Arguments

...

Arguments passed to ggplot2::continuous_scale().

reverse

A logical scalar. Should the resulting vector of colors be reversed?

range

A length-two numeric vector specifying the fraction of the scheme's color domain to keep.

midpoint

A length-one numeric vector giving the midpoint (in data value) of the diverging scale. Defaults to 0.

discrete

A logical scalar: should the color scheme be used as a discrete scale?

aesthetics

A character string or vector of character strings listing the name(s) of the aesthetic(s) that this scale works with.

Value

A continuous scale.

Diverging Color Schemes

If more colors than defined are needed from a given scheme, the color coordinates are linearly interpolated to provide a continuous version of the scheme.

Palette Max.
broc 256
cork 256
vik 256
lisbon 256
tofino 256
berlin 256
roma 256
bam 256
vanimo 256
brocO* 256
corkO* 256
vikO* 256
romaO* 256
bamO* 256

*: cyclic color schemes.

Author(s)

N. Frerebeau

Source

Crameri, F. (2021). Scientific colour maps. Zenodo, v7.0. doi:10.5281/zenodo.4491293

References

Crameri, F. (2018). Geodynamic diagnostics, scientific visualisation and StagLab 3.0. Geosci. Model Dev., 11, 2541-2562. doi:10.5194/gmd-11-2541-2018

Crameri, F., Shephard, G. E. & Heron, P. J. (2020). The misuse of colour in science communication. Nature Communications, 11, 5444. doi:10.1038/s41467-020-19160-7

See Also

Other diverging color schemes: scale_crameri_bam, scale_crameri_berlin, scale_crameri_broc, scale_crameri_cork, scale_crameri_lisbon, scale_crameri_tofino, scale_crameri_vanimo, scale_crameri_vik, scale_tol_BuRd, scale_tol_PRGn, scale_tol_nightfall, scale_tol_sunset

Other Fabio Crameri's color schemes: scale_crameri_acton, scale_crameri_bam, scale_crameri_bamO, scale_crameri_bamako, scale_crameri_batlow, scale_crameri_batlowK, scale_crameri_batlowW, scale_crameri_berlin, scale_crameri_bilbao, scale_crameri_broc, scale_crameri_brocO, scale_crameri_buda, scale_crameri_bukavu, scale_crameri_cork, scale_crameri_corkO, scale_crameri_davos, scale_crameri_devon, scale_crameri_fes, scale_crameri_grayC, scale_crameri_hawaii, scale_crameri_imola, scale_crameri_lajolla, scale_crameri_lapaz, scale_crameri_lisbon, scale_crameri_nuuk, scale_crameri_oleron, scale_crameri_oslo, scale_crameri_romaO, scale_crameri_tofino, scale_crameri_tokyo, scale_crameri_turku, scale_crameri_vanimo, scale_crameri_vik, scale_crameri_vikO

Examples

data(economics, package = "ggplot2")

ggplot2::ggplot(economics, ggplot2::aes(psavert, pce, colour = unemploy)) +
  ggplot2::geom_point() +
  scale_colour_broc(reverse = TRUE, midpoint = 12000)

ggplot2::ggplot(economics, ggplot2::aes(psavert, pce, colour = unemploy)) +
  ggplot2::geom_point() +
  scale_colour_berlin(midpoint = 9000)

Fabio Crameri's romaO Cyclic Color Scheme

Description

Fabio Crameri's romaO Cyclic Color Scheme

Usage

scale_colour_romaO(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "colour"
)

scale_color_romaO(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "colour"
)

scale_fill_romaO(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "fill"
)

Arguments

...

Arguments passed to ggplot2::continuous_scale().

reverse

A logical scalar. Should the resulting vector of colors be reversed?

range

A length-two numeric vector specifying the fraction of the scheme's color domain to keep.

discrete

A logical scalar: should the color scheme be used as a discrete scale?

aesthetics

A character string or vector of character strings listing the name(s) of the aesthetic(s) that this scale works with.

Value

A continuous scale.

Diverging Color Schemes

If more colors than defined are needed from a given scheme, the color coordinates are linearly interpolated to provide a continuous version of the scheme.

Palette Max.
broc 256
cork 256
vik 256
lisbon 256
tofino 256
berlin 256
roma 256
bam 256
vanimo 256
brocO* 256
corkO* 256
vikO* 256
romaO* 256
bamO* 256

*: cyclic color schemes.

Author(s)

N. Frerebeau

Source

Crameri, F. (2021). Scientific colour maps. Zenodo, v7.0. doi:10.5281/zenodo.4491293

References

Crameri, F. (2018). Geodynamic diagnostics, scientific visualisation and StagLab 3.0. Geosci. Model Dev., 11, 2541-2562. doi:10.5194/gmd-11-2541-2018

Crameri, F., Shephard, G. E. & Heron, P. J. (2020). The misuse of colour in science communication. Nature Communications, 11, 5444. doi:10.1038/s41467-020-19160-7

See Also

Other cyclic color schemes: scale_crameri_bamO, scale_crameri_brocO, scale_crameri_corkO, scale_crameri_vikO

Other Fabio Crameri's color schemes: scale_crameri_acton, scale_crameri_bam, scale_crameri_bamO, scale_crameri_bamako, scale_crameri_batlow, scale_crameri_batlowK, scale_crameri_batlowW, scale_crameri_berlin, scale_crameri_bilbao, scale_crameri_broc, scale_crameri_brocO, scale_crameri_buda, scale_crameri_bukavu, scale_crameri_cork, scale_crameri_corkO, scale_crameri_davos, scale_crameri_devon, scale_crameri_fes, scale_crameri_grayC, scale_crameri_hawaii, scale_crameri_imola, scale_crameri_lajolla, scale_crameri_lapaz, scale_crameri_lisbon, scale_crameri_nuuk, scale_crameri_oleron, scale_crameri_oslo, scale_crameri_roma, scale_crameri_tofino, scale_crameri_tokyo, scale_crameri_turku, scale_crameri_vanimo, scale_crameri_vik, scale_crameri_vikO

Examples

data(economics, package = "ggplot2")

ggplot2::ggplot(economics, ggplot2::aes(psavert, pce, colour = unemploy)) +
  ggplot2::geom_point() +
  scale_colour_broc(reverse = TRUE, midpoint = 12000)

ggplot2::ggplot(economics, ggplot2::aes(psavert, pce, colour = unemploy)) +
  ggplot2::geom_point() +
  scale_colour_berlin(midpoint = 9000)

Fabio Crameri's tofino Diverging Color Scheme

Description

Fabio Crameri's tofino Diverging Color Scheme

Usage

scale_colour_tofino(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  midpoint = 0,
  discrete = FALSE,
  aesthetics = "colour"
)

scale_color_tofino(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  midpoint = 0,
  discrete = FALSE,
  aesthetics = "colour"
)

scale_fill_tofino(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  midpoint = 0,
  discrete = FALSE,
  aesthetics = "fill"
)

scale_edge_colour_tofino(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  midpoint = 0,
  discrete = FALSE,
  aesthetics = "edge_colour"
)

scale_edge_color_tofino(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  midpoint = 0,
  discrete = FALSE,
  aesthetics = "edge_colour"
)

scale_edge_fill_tofino(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  midpoint = 0,
  discrete = FALSE,
  aesthetics = "edge_fill"
)

Arguments

...

Arguments passed to ggplot2::continuous_scale().

reverse

A logical scalar. Should the resulting vector of colors be reversed?

range

A length-two numeric vector specifying the fraction of the scheme's color domain to keep.

midpoint

A length-one numeric vector giving the midpoint (in data value) of the diverging scale. Defaults to 0.

discrete

A logical scalar: should the color scheme be used as a discrete scale?

aesthetics

A character string or vector of character strings listing the name(s) of the aesthetic(s) that this scale works with.

Value

A continuous scale.

Diverging Color Schemes

If more colors than defined are needed from a given scheme, the color coordinates are linearly interpolated to provide a continuous version of the scheme.

Palette Max.
broc 256
cork 256
vik 256
lisbon 256
tofino 256
berlin 256
roma 256
bam 256
vanimo 256
brocO* 256
corkO* 256
vikO* 256
romaO* 256
bamO* 256

*: cyclic color schemes.

Author(s)

N. Frerebeau

Source

Crameri, F. (2021). Scientific colour maps. Zenodo, v7.0. doi:10.5281/zenodo.4491293

References

Crameri, F. (2018). Geodynamic diagnostics, scientific visualisation and StagLab 3.0. Geosci. Model Dev., 11, 2541-2562. doi:10.5194/gmd-11-2541-2018

Crameri, F., Shephard, G. E. & Heron, P. J. (2020). The misuse of colour in science communication. Nature Communications, 11, 5444. doi:10.1038/s41467-020-19160-7

See Also

Other diverging color schemes: scale_crameri_bam, scale_crameri_berlin, scale_crameri_broc, scale_crameri_cork, scale_crameri_lisbon, scale_crameri_roma, scale_crameri_vanimo, scale_crameri_vik, scale_tol_BuRd, scale_tol_PRGn, scale_tol_nightfall, scale_tol_sunset

Other Fabio Crameri's color schemes: scale_crameri_acton, scale_crameri_bam, scale_crameri_bamO, scale_crameri_bamako, scale_crameri_batlow, scale_crameri_batlowK, scale_crameri_batlowW, scale_crameri_berlin, scale_crameri_bilbao, scale_crameri_broc, scale_crameri_brocO, scale_crameri_buda, scale_crameri_bukavu, scale_crameri_cork, scale_crameri_corkO, scale_crameri_davos, scale_crameri_devon, scale_crameri_fes, scale_crameri_grayC, scale_crameri_hawaii, scale_crameri_imola, scale_crameri_lajolla, scale_crameri_lapaz, scale_crameri_lisbon, scale_crameri_nuuk, scale_crameri_oleron, scale_crameri_oslo, scale_crameri_roma, scale_crameri_romaO, scale_crameri_tokyo, scale_crameri_turku, scale_crameri_vanimo, scale_crameri_vik, scale_crameri_vikO

Examples

data(economics, package = "ggplot2")

ggplot2::ggplot(economics, ggplot2::aes(psavert, pce, colour = unemploy)) +
  ggplot2::geom_point() +
  scale_colour_broc(reverse = TRUE, midpoint = 12000)

ggplot2::ggplot(economics, ggplot2::aes(psavert, pce, colour = unemploy)) +
  ggplot2::geom_point() +
  scale_colour_berlin(midpoint = 9000)

Fabio Crameri's tokyo Sequential Color Scheme

Description

Fabio Crameri's tokyo Sequential Color Scheme

Usage

scale_colour_tokyo(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "colour"
)

scale_color_tokyo(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "colour"
)

scale_fill_tokyo(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "fill"
)

scale_edge_colour_tokyo(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "edge_colour"
)

scale_edge_color_tokyo(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "edge_colour"
)

scale_edge_fill_tokyo(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "edge_fill"
)

Arguments

...

Arguments passed to ggplot2::continuous_scale().

reverse

A logical scalar. Should the resulting vector of colors be reversed?

range

A length-two numeric vector specifying the fraction of the scheme's color domain to keep.

discrete

A logical scalar: should the color scheme be used as a discrete scale?

aesthetics

A character string or vector of character strings listing the name(s) of the aesthetic(s) that this scale works with.

Value

A continuous scale.

Sequential Color Schemes

If more colors than defined are needed from a given scheme, the color coordinates are linearly interpolated to provide a continuous version of the scheme.

Palette Max.
batlow 256
batlowW 256
batlowK 256
devon 256
lajolla 256
bamako 256
davos 256
bilbao 256
nuuk 256
oslo 256
grayC 256
hawaii 256
lapaz 256
tokyo 256
buda 256
acton 256
turku 256
imola 256
oleron* 256
bukavu* 256
fes* 256

*: multisequential color schemes.

Author(s)

N. Frerebeau

Source

Crameri, F. (2021). Scientific colour maps. Zenodo, v7.0. doi:10.5281/zenodo.4491293

References

Crameri, F. (2018). Geodynamic diagnostics, scientific visualisation and StagLab 3.0. Geosci. Model Dev., 11, 2541-2562. doi:10.5194/gmd-11-2541-2018

Crameri, F., Shephard, G. E. & Heron, P. J. (2020). The misuse of colour in science communication. Nature Communications, 11, 5444. doi:10.1038/s41467-020-19160-7

See Also

Other sequential color schemes: scale_crameri_acton, scale_crameri_bamako, scale_crameri_batlow, scale_crameri_batlowK, scale_crameri_batlowW, scale_crameri_bilbao, scale_crameri_buda, scale_crameri_davos, scale_crameri_devon, scale_crameri_grayC, scale_crameri_hawaii, scale_crameri_imola, scale_crameri_lajolla, scale_crameri_lapaz, scale_crameri_nuuk, scale_crameri_oslo, scale_crameri_turku, scale_tol_YlOrBr, scale_tol_incandescent, scale_tol_iridescent, scale_tol_smoothrainbow

Other Fabio Crameri's color schemes: scale_crameri_acton, scale_crameri_bam, scale_crameri_bamO, scale_crameri_bamako, scale_crameri_batlow, scale_crameri_batlowK, scale_crameri_batlowW, scale_crameri_berlin, scale_crameri_bilbao, scale_crameri_broc, scale_crameri_brocO, scale_crameri_buda, scale_crameri_bukavu, scale_crameri_cork, scale_crameri_corkO, scale_crameri_davos, scale_crameri_devon, scale_crameri_fes, scale_crameri_grayC, scale_crameri_hawaii, scale_crameri_imola, scale_crameri_lajolla, scale_crameri_lapaz, scale_crameri_lisbon, scale_crameri_nuuk, scale_crameri_oleron, scale_crameri_oslo, scale_crameri_roma, scale_crameri_romaO, scale_crameri_tofino, scale_crameri_turku, scale_crameri_vanimo, scale_crameri_vik, scale_crameri_vikO

Examples

data(faithfuld, package = "ggplot2")

ggplot2::ggplot(faithfuld, ggplot2::aes(waiting, eruptions, fill = density)) +
  ggplot2::geom_raster() +
  scale_fill_batlow()

ggplot2::ggplot(faithfuld, ggplot2::aes(waiting, eruptions, fill = density)) +
  ggplot2::geom_raster() +
  scale_fill_bamako()

ggplot2::ggplot(faithfuld, ggplot2::aes(waiting, eruptions, fill = density)) +
  ggplot2::geom_raster() +
  scale_fill_hawaii(reverse = TRUE)

Fabio Crameri's turku Sequential Color Scheme

Description

Fabio Crameri's turku Sequential Color Scheme

Usage

scale_colour_turku(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "colour"
)

scale_color_turku(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "colour"
)

scale_fill_turku(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "fill"
)

scale_edge_colour_turku(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "edge_colour"
)

scale_edge_color_turku(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "edge_colour"
)

scale_edge_fill_turku(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "edge_fill"
)

Arguments

...

Arguments passed to ggplot2::continuous_scale().

reverse

A logical scalar. Should the resulting vector of colors be reversed?

range

A length-two numeric vector specifying the fraction of the scheme's color domain to keep.

discrete

A logical scalar: should the color scheme be used as a discrete scale?

aesthetics

A character string or vector of character strings listing the name(s) of the aesthetic(s) that this scale works with.

Value

A continuous scale.

Sequential Color Schemes

If more colors than defined are needed from a given scheme, the color coordinates are linearly interpolated to provide a continuous version of the scheme.

Palette Max.
batlow 256
batlowW 256
batlowK 256
devon 256
lajolla 256
bamako 256
davos 256
bilbao 256
nuuk 256
oslo 256
grayC 256
hawaii 256
lapaz 256
tokyo 256
buda 256
acton 256
turku 256
imola 256
oleron* 256
bukavu* 256
fes* 256

*: multisequential color schemes.

Author(s)

N. Frerebeau

Source

Crameri, F. (2021). Scientific colour maps. Zenodo, v7.0. doi:10.5281/zenodo.4491293

References

Crameri, F. (2018). Geodynamic diagnostics, scientific visualisation and StagLab 3.0. Geosci. Model Dev., 11, 2541-2562. doi:10.5194/gmd-11-2541-2018

Crameri, F., Shephard, G. E. & Heron, P. J. (2020). The misuse of colour in science communication. Nature Communications, 11, 5444. doi:10.1038/s41467-020-19160-7

See Also

Other sequential color schemes: scale_crameri_acton, scale_crameri_bamako, scale_crameri_batlow, scale_crameri_batlowK, scale_crameri_batlowW, scale_crameri_bilbao, scale_crameri_buda, scale_crameri_davos, scale_crameri_devon, scale_crameri_grayC, scale_crameri_hawaii, scale_crameri_imola, scale_crameri_lajolla, scale_crameri_lapaz, scale_crameri_nuuk, scale_crameri_oslo, scale_crameri_tokyo, scale_tol_YlOrBr, scale_tol_incandescent, scale_tol_iridescent, scale_tol_smoothrainbow

Other Fabio Crameri's color schemes: scale_crameri_acton, scale_crameri_bam, scale_crameri_bamO, scale_crameri_bamako, scale_crameri_batlow, scale_crameri_batlowK, scale_crameri_batlowW, scale_crameri_berlin, scale_crameri_bilbao, scale_crameri_broc, scale_crameri_brocO, scale_crameri_buda, scale_crameri_bukavu, scale_crameri_cork, scale_crameri_corkO, scale_crameri_davos, scale_crameri_devon, scale_crameri_fes, scale_crameri_grayC, scale_crameri_hawaii, scale_crameri_imola, scale_crameri_lajolla, scale_crameri_lapaz, scale_crameri_lisbon, scale_crameri_nuuk, scale_crameri_oleron, scale_crameri_oslo, scale_crameri_roma, scale_crameri_romaO, scale_crameri_tofino, scale_crameri_tokyo, scale_crameri_vanimo, scale_crameri_vik, scale_crameri_vikO

Examples

data(faithfuld, package = "ggplot2")

ggplot2::ggplot(faithfuld, ggplot2::aes(waiting, eruptions, fill = density)) +
  ggplot2::geom_raster() +
  scale_fill_batlow()

ggplot2::ggplot(faithfuld, ggplot2::aes(waiting, eruptions, fill = density)) +
  ggplot2::geom_raster() +
  scale_fill_bamako()

ggplot2::ggplot(faithfuld, ggplot2::aes(waiting, eruptions, fill = density)) +
  ggplot2::geom_raster() +
  scale_fill_hawaii(reverse = TRUE)

Fabio Crameri's vanimo Diverging Color Scheme

Description

Fabio Crameri's vanimo Diverging Color Scheme

Usage

scale_colour_vanimo(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  midpoint = 0,
  discrete = FALSE,
  aesthetics = "colour"
)

scale_color_vanimo(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  midpoint = 0,
  discrete = FALSE,
  aesthetics = "colour"
)

scale_fill_vanimo(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  midpoint = 0,
  discrete = FALSE,
  aesthetics = "fill"
)

scale_edge_colour_vanimo(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  midpoint = 0,
  discrete = FALSE,
  aesthetics = "edge_colour"
)

scale_edge_color_vanimo(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  midpoint = 0,
  discrete = FALSE,
  aesthetics = "edge_colour"
)

scale_edge_fill_vanimo(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  midpoint = 0,
  discrete = FALSE,
  aesthetics = "edge_fill"
)

Arguments

...

Arguments passed to ggplot2::continuous_scale().

reverse

A logical scalar. Should the resulting vector of colors be reversed?

range

A length-two numeric vector specifying the fraction of the scheme's color domain to keep.

midpoint

A length-one numeric vector giving the midpoint (in data value) of the diverging scale. Defaults to 0.

discrete

A logical scalar: should the color scheme be used as a discrete scale?

aesthetics

A character string or vector of character strings listing the name(s) of the aesthetic(s) that this scale works with.

Value

A continuous scale.

Diverging Color Schemes

If more colors than defined are needed from a given scheme, the color coordinates are linearly interpolated to provide a continuous version of the scheme.

Palette Max.
broc 256
cork 256
vik 256
lisbon 256
tofino 256
berlin 256
roma 256
bam 256
vanimo 256
brocO* 256
corkO* 256
vikO* 256
romaO* 256
bamO* 256

*: cyclic color schemes.

Author(s)

N. Frerebeau

Source

Crameri, F. (2021). Scientific colour maps. Zenodo, v7.0. doi:10.5281/zenodo.4491293

References

Crameri, F. (2018). Geodynamic diagnostics, scientific visualisation and StagLab 3.0. Geosci. Model Dev., 11, 2541-2562. doi:10.5194/gmd-11-2541-2018

Crameri, F., Shephard, G. E. & Heron, P. J. (2020). The misuse of colour in science communication. Nature Communications, 11, 5444. doi:10.1038/s41467-020-19160-7

See Also

Other diverging color schemes: scale_crameri_bam, scale_crameri_berlin, scale_crameri_broc, scale_crameri_cork, scale_crameri_lisbon, scale_crameri_roma, scale_crameri_tofino, scale_crameri_vik, scale_tol_BuRd, scale_tol_PRGn, scale_tol_nightfall, scale_tol_sunset

Other Fabio Crameri's color schemes: scale_crameri_acton, scale_crameri_bam, scale_crameri_bamO, scale_crameri_bamako, scale_crameri_batlow, scale_crameri_batlowK, scale_crameri_batlowW, scale_crameri_berlin, scale_crameri_bilbao, scale_crameri_broc, scale_crameri_brocO, scale_crameri_buda, scale_crameri_bukavu, scale_crameri_cork, scale_crameri_corkO, scale_crameri_davos, scale_crameri_devon, scale_crameri_fes, scale_crameri_grayC, scale_crameri_hawaii, scale_crameri_imola, scale_crameri_lajolla, scale_crameri_lapaz, scale_crameri_lisbon, scale_crameri_nuuk, scale_crameri_oleron, scale_crameri_oslo, scale_crameri_roma, scale_crameri_romaO, scale_crameri_tofino, scale_crameri_tokyo, scale_crameri_turku, scale_crameri_vik, scale_crameri_vikO

Examples

data(economics, package = "ggplot2")

ggplot2::ggplot(economics, ggplot2::aes(psavert, pce, colour = unemploy)) +
  ggplot2::geom_point() +
  scale_colour_broc(reverse = TRUE, midpoint = 12000)

ggplot2::ggplot(economics, ggplot2::aes(psavert, pce, colour = unemploy)) +
  ggplot2::geom_point() +
  scale_colour_berlin(midpoint = 9000)

Fabio Crameri's vik Diverging Color Scheme

Description

Fabio Crameri's vik Diverging Color Scheme

Usage

scale_colour_vik(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  midpoint = 0,
  discrete = FALSE,
  aesthetics = "colour"
)

scale_color_vik(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  midpoint = 0,
  discrete = FALSE,
  aesthetics = "colour"
)

scale_fill_vik(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  midpoint = 0,
  discrete = FALSE,
  aesthetics = "fill"
)

scale_edge_colour_vik(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  midpoint = 0,
  discrete = FALSE,
  aesthetics = "edge_colour"
)

scale_edge_color_vik(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  midpoint = 0,
  discrete = FALSE,
  aesthetics = "edge_colour"
)

scale_edge_fill_vik(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  midpoint = 0,
  discrete = FALSE,
  aesthetics = "edge_fill"
)

Arguments

...

Arguments passed to ggplot2::continuous_scale().

reverse

A logical scalar. Should the resulting vector of colors be reversed?

range

A length-two numeric vector specifying the fraction of the scheme's color domain to keep.

midpoint

A length-one numeric vector giving the midpoint (in data value) of the diverging scale. Defaults to 0.

discrete

A logical scalar: should the color scheme be used as a discrete scale?

aesthetics

A character string or vector of character strings listing the name(s) of the aesthetic(s) that this scale works with.

Value

A continuous scale.

Diverging Color Schemes

If more colors than defined are needed from a given scheme, the color coordinates are linearly interpolated to provide a continuous version of the scheme.

Palette Max.
broc 256
cork 256
vik 256
lisbon 256
tofino 256
berlin 256
roma 256
bam 256
vanimo 256
brocO* 256
corkO* 256
vikO* 256
romaO* 256
bamO* 256

*: cyclic color schemes.

Author(s)

N. Frerebeau

Source

Crameri, F. (2021). Scientific colour maps. Zenodo, v7.0. doi:10.5281/zenodo.4491293

References

Crameri, F. (2018). Geodynamic diagnostics, scientific visualisation and StagLab 3.0. Geosci. Model Dev., 11, 2541-2562. doi:10.5194/gmd-11-2541-2018

Crameri, F., Shephard, G. E. & Heron, P. J. (2020). The misuse of colour in science communication. Nature Communications, 11, 5444. doi:10.1038/s41467-020-19160-7

See Also

Other diverging color schemes: scale_crameri_bam, scale_crameri_berlin, scale_crameri_broc, scale_crameri_cork, scale_crameri_lisbon, scale_crameri_roma, scale_crameri_tofino, scale_crameri_vanimo, scale_tol_BuRd, scale_tol_PRGn, scale_tol_nightfall, scale_tol_sunset

Other Fabio Crameri's color schemes: scale_crameri_acton, scale_crameri_bam, scale_crameri_bamO, scale_crameri_bamako, scale_crameri_batlow, scale_crameri_batlowK, scale_crameri_batlowW, scale_crameri_berlin, scale_crameri_bilbao, scale_crameri_broc, scale_crameri_brocO, scale_crameri_buda, scale_crameri_bukavu, scale_crameri_cork, scale_crameri_corkO, scale_crameri_davos, scale_crameri_devon, scale_crameri_fes, scale_crameri_grayC, scale_crameri_hawaii, scale_crameri_imola, scale_crameri_lajolla, scale_crameri_lapaz, scale_crameri_lisbon, scale_crameri_nuuk, scale_crameri_oleron, scale_crameri_oslo, scale_crameri_roma, scale_crameri_romaO, scale_crameri_tofino, scale_crameri_tokyo, scale_crameri_turku, scale_crameri_vanimo, scale_crameri_vikO

Examples

data(economics, package = "ggplot2")

ggplot2::ggplot(economics, ggplot2::aes(psavert, pce, colour = unemploy)) +
  ggplot2::geom_point() +
  scale_colour_broc(reverse = TRUE, midpoint = 12000)

ggplot2::ggplot(economics, ggplot2::aes(psavert, pce, colour = unemploy)) +
  ggplot2::geom_point() +
  scale_colour_berlin(midpoint = 9000)

Fabio Crameri's vikO Cyclic Color Scheme

Description

Fabio Crameri's vikO Cyclic Color Scheme

Usage

scale_colour_vikO(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "colour"
)

scale_color_vikO(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "colour"
)

scale_fill_vikO(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "fill"
)

Arguments

...

Arguments passed to ggplot2::continuous_scale().

reverse

A logical scalar. Should the resulting vector of colors be reversed?

range

A length-two numeric vector specifying the fraction of the scheme's color domain to keep.

discrete

A logical scalar: should the color scheme be used as a discrete scale?

aesthetics

A character string or vector of character strings listing the name(s) of the aesthetic(s) that this scale works with.

Value

A continuous scale.

Diverging Color Schemes

If more colors than defined are needed from a given scheme, the color coordinates are linearly interpolated to provide a continuous version of the scheme.

Palette Max.
broc 256
cork 256
vik 256
lisbon 256
tofino 256
berlin 256
roma 256
bam 256
vanimo 256
brocO* 256
corkO* 256
vikO* 256
romaO* 256
bamO* 256

*: cyclic color schemes.

Author(s)

N. Frerebeau

Source

Crameri, F. (2021). Scientific colour maps. Zenodo, v7.0. doi:10.5281/zenodo.4491293

References

Crameri, F. (2018). Geodynamic diagnostics, scientific visualisation and StagLab 3.0. Geosci. Model Dev., 11, 2541-2562. doi:10.5194/gmd-11-2541-2018

Crameri, F., Shephard, G. E. & Heron, P. J. (2020). The misuse of colour in science communication. Nature Communications, 11, 5444. doi:10.1038/s41467-020-19160-7

See Also

Other cyclic color schemes: scale_crameri_bamO, scale_crameri_brocO, scale_crameri_corkO, scale_crameri_romaO

Other Fabio Crameri's color schemes: scale_crameri_acton, scale_crameri_bam, scale_crameri_bamO, scale_crameri_bamako, scale_crameri_batlow, scale_crameri_batlowK, scale_crameri_batlowW, scale_crameri_berlin, scale_crameri_bilbao, scale_crameri_broc, scale_crameri_brocO, scale_crameri_buda, scale_crameri_bukavu, scale_crameri_cork, scale_crameri_corkO, scale_crameri_davos, scale_crameri_devon, scale_crameri_fes, scale_crameri_grayC, scale_crameri_hawaii, scale_crameri_imola, scale_crameri_lajolla, scale_crameri_lapaz, scale_crameri_lisbon, scale_crameri_nuuk, scale_crameri_oleron, scale_crameri_oslo, scale_crameri_roma, scale_crameri_romaO, scale_crameri_tofino, scale_crameri_tokyo, scale_crameri_turku, scale_crameri_vanimo, scale_crameri_vik

Examples

data(economics, package = "ggplot2")

ggplot2::ggplot(economics, ggplot2::aes(psavert, pce, colour = unemploy)) +
  ggplot2::geom_point() +
  scale_colour_broc(reverse = TRUE, midpoint = 12000)

ggplot2::ggplot(economics, ggplot2::aes(psavert, pce, colour = unemploy)) +
  ggplot2::geom_point() +
  scale_colour_berlin(midpoint = 9000)

Okabe and Ito's Discrete Color Scheme for ggplot2 and ggraph

Description

Provides the qualitative color scale from Okabe and Ito 2008.

Usage

scale_colour_okabeito(
  ...,
  reverse = FALSE,
  black_position = c("first", "last"),
  aesthetics = "colour"
)

scale_color_okabeito(
  ...,
  reverse = FALSE,
  black_position = c("first", "last"),
  aesthetics = "colour"
)

scale_fill_okabeito(
  ...,
  reverse = FALSE,
  black_position = c("first", "last"),
  aesthetics = "fill"
)

scale_edge_colour_okabeito(
  ...,
  reverse = FALSE,
  black_position = c("first", "last"),
  aesthetics = "edge_colour"
)

scale_edge_color_okabeito(
  ...,
  reverse = FALSE,
  black_position = c("first", "last"),
  aesthetics = "edge_colour"
)

scale_edge_fill_okabeito(
  ...,
  reverse = FALSE,
  black_position = c("first", "last"),
  aesthetics = "edge_fill"
)

Arguments

...

Arguments passed to ggplot2::discrete_scale().

reverse

A logical scalar. Should the resulting vector of colors be reversed?

black_position

A character string giving the position of the black color. It must be one of "first" or "last". Any unambiguous substring can be given.

aesthetics

A character string or vector of character strings listing the name(s) of the aesthetic(s) that this scale works with.

Details

This qualitative color scheme is used as given (no interpolation): colors are picked up to the maximum number of supported values (8).

Value

A discrete scale.

Author(s)

N. Frerebeau

References

Okabe, M. & Ito, K. (2008). Color Universal Design (CUD): How to Make Figures and Presentations That Are Friendly to Colorblind People. URL: https://jfly.uni-koeln.de/color/.

See Also

Other qualitative color schemes: scale_colour_land(), scale_colour_soil(), scale_colour_stratigraphy(), scale_tol_bright, scale_tol_dark, scale_tol_discreterainbow, scale_tol_highcontrast, scale_tol_light, scale_tol_mediumcontrast, scale_tol_muted, scale_tol_pale, scale_tol_vibrant

Examples

library(ggplot2)

ggplot2::ggplot(mpg, ggplot2::aes(displ, hwy, colour = class)) +
  ggplot2::geom_point() +
  scale_colour_okabeito()

ggplot2::ggplot(mpg, ggplot2::aes(displ, hwy, colour = class)) +
  ggplot2::geom_point() +
  scale_colour_okabeito(black_position = "last")

Color Scale Builder

Description

Builds a color scale for ggplot2 or ggraph.

Usage

scale_colour_picker(..., palette = "YlOrBr")

scale_color_picker(..., palette = "YlOrBr")

scale_fill_picker(..., palette = "YlOrBr")

scale_edge_colour_picker(..., palette = "YlOrBr")

scale_edge_color_picker(..., palette = "YlOrBr")

scale_edge_fill_picker(..., palette = "YlOrBr")

Arguments

...

Extra parameters to be passed to the color scale function.

palette

A character string giving the name of the color scheme to be used (see info()).

Value

A discrete or continuous scale.

Author(s)

N. Frerebeau

Examples

library(ggplot2)

ggplot2::ggplot(mpg, ggplot2::aes(displ, hwy, colour = class)) +
  ggplot2::geom_point() +
  scale_colour_picker(palette = "okabeito")

Paul Tol's BuRd Diverging Color Scheme

Description

Paul Tol's BuRd Diverging Color Scheme

Usage

scale_colour_BuRd(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  midpoint = 0,
  discrete = FALSE,
  aesthetics = "colour"
)

scale_color_BuRd(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  midpoint = 0,
  discrete = FALSE,
  aesthetics = "colour"
)

scale_fill_BuRd(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  midpoint = 0,
  discrete = FALSE,
  aesthetics = "fill"
)

scale_edge_colour_BuRd(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  midpoint = 0,
  discrete = FALSE,
  aesthetics = "edge_colour"
)

scale_edge_color_BuRd(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  midpoint = 0,
  discrete = FALSE,
  aesthetics = "edge_colour"
)

scale_edge_fill_BuRd(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  midpoint = 0,
  discrete = FALSE,
  aesthetics = "edge_fill"
)

Arguments

...

Arguments passed to ggplot2::continuous_scale().

reverse

A logical scalar. Should the resulting vector of colors be reversed?

range

A length-two numeric vector specifying the fraction of the scheme's color domain to keep.

midpoint

A length-one numeric vector giving the midpoint (in data value) of the diverging scale. Defaults to 0.

discrete

A logical scalar: should the color scheme be used as a discrete scale? If TRUE, it is a departure from Paul Tol's recommendations and likely a very poor use of color.

aesthetics

A character string or vector of character strings listing the name(s) of the aesthetic(s) that this scale works with.

Value

A continuous scale.

Diverging Color Schemes

If more colors than defined are needed from a given scheme, the color coordinates are linearly interpolated to provide a continuous version of the scheme.

Palette Max. NA value
sunset 11 #FFFFFF
nightfall 17 #FFFFFF
BuRd 9 #FFEE99
PRGn 9 #FFEE99

Author(s)

N. Frerebeau

References

Tol, P. (2018). Colour Schemes. SRON. Technical Note No. SRON/EPS/TN/09-002, issue 3.1. URL: https://personal.sron.nl/~pault/data/colourschemes.pdf

See Also

Other diverging color schemes: scale_crameri_bam, scale_crameri_berlin, scale_crameri_broc, scale_crameri_cork, scale_crameri_lisbon, scale_crameri_roma, scale_crameri_tofino, scale_crameri_vanimo, scale_crameri_vik, scale_tol_PRGn, scale_tol_nightfall, scale_tol_sunset

Other Paul Tol's color schemes: scale_tol_PRGn, scale_tol_YlOrBr, scale_tol_bright, scale_tol_dark, scale_tol_discreterainbow, scale_tol_highcontrast, scale_tol_incandescent, scale_tol_iridescent, scale_tol_light, scale_tol_mediumcontrast, scale_tol_muted, scale_tol_nightfall, scale_tol_pale, scale_tol_smoothrainbow, scale_tol_sunset, scale_tol_vibrant

Examples

data(economics, package = "ggplot2")

ggplot2::ggplot(economics, ggplot2::aes(psavert, pce, colour = unemploy)) +
  ggplot2::geom_point() +
  scale_color_sunset(reverse = TRUE, midpoint = 12000)

ggplot2::ggplot(economics, ggplot2::aes(psavert, pce, colour = unemploy)) +
  ggplot2::geom_point() +
  scale_color_BuRd(midpoint = 9000)

ggplot2::ggplot(economics, ggplot2::aes(psavert, pce, colour = unemploy)) +
  ggplot2::geom_point() +
  scale_color_PRGn(midpoint = 9000, range = c(0.25, 1))

Paul Tol's PRGn Diverging Color Scheme

Description

Paul Tol's PRGn Diverging Color Scheme

Usage

scale_colour_PRGn(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  midpoint = 0,
  discrete = FALSE,
  aesthetics = "colour"
)

scale_color_PRGn(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  midpoint = 0,
  discrete = FALSE,
  aesthetics = "colour"
)

scale_fill_PRGn(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  midpoint = 0,
  discrete = FALSE,
  aesthetics = "fill"
)

scale_edge_colour_PRGn(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  midpoint = 0,
  discrete = FALSE,
  aesthetics = "edge_colour"
)

scale_edge_color_PRGn(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  midpoint = 0,
  discrete = FALSE,
  aesthetics = "edge_colour"
)

scale_edge_fill_PRGn(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  midpoint = 0,
  discrete = FALSE,
  aesthetics = "edge_fill"
)

Arguments

...

Arguments passed to ggplot2::continuous_scale().

reverse

A logical scalar. Should the resulting vector of colors be reversed?

range

A length-two numeric vector specifying the fraction of the scheme's color domain to keep.

midpoint

A length-one numeric vector giving the midpoint (in data value) of the diverging scale. Defaults to 0.

discrete

A logical scalar: should the color scheme be used as a discrete scale? If TRUE, it is a departure from Paul Tol's recommendations and likely a very poor use of color.

aesthetics

A character string or vector of character strings listing the name(s) of the aesthetic(s) that this scale works with.

Value

A continuous scale.

Diverging Color Schemes

If more colors than defined are needed from a given scheme, the color coordinates are linearly interpolated to provide a continuous version of the scheme.

Palette Max. NA value
sunset 11 #FFFFFF
nightfall 17 #FFFFFF
BuRd 9 #FFEE99
PRGn 9 #FFEE99

Author(s)

N. Frerebeau

References

Tol, P. (2018). Colour Schemes. SRON. Technical Note No. SRON/EPS/TN/09-002, issue 3.1. URL: https://personal.sron.nl/~pault/data/colourschemes.pdf

See Also

Other diverging color schemes: scale_crameri_bam, scale_crameri_berlin, scale_crameri_broc, scale_crameri_cork, scale_crameri_lisbon, scale_crameri_roma, scale_crameri_tofino, scale_crameri_vanimo, scale_crameri_vik, scale_tol_BuRd, scale_tol_nightfall, scale_tol_sunset

Other Paul Tol's color schemes: scale_tol_BuRd, scale_tol_YlOrBr, scale_tol_bright, scale_tol_dark, scale_tol_discreterainbow, scale_tol_highcontrast, scale_tol_incandescent, scale_tol_iridescent, scale_tol_light, scale_tol_mediumcontrast, scale_tol_muted, scale_tol_nightfall, scale_tol_pale, scale_tol_smoothrainbow, scale_tol_sunset, scale_tol_vibrant

Examples

data(economics, package = "ggplot2")

ggplot2::ggplot(economics, ggplot2::aes(psavert, pce, colour = unemploy)) +
  ggplot2::geom_point() +
  scale_color_sunset(reverse = TRUE, midpoint = 12000)

ggplot2::ggplot(economics, ggplot2::aes(psavert, pce, colour = unemploy)) +
  ggplot2::geom_point() +
  scale_color_BuRd(midpoint = 9000)

ggplot2::ggplot(economics, ggplot2::aes(psavert, pce, colour = unemploy)) +
  ggplot2::geom_point() +
  scale_color_PRGn(midpoint = 9000, range = c(0.25, 1))

Paul Tol's YlOrBr Sequential Color Scheme

Description

Paul Tol's YlOrBr Sequential Color Scheme

Usage

scale_colour_YlOrBr(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "colour"
)

scale_color_YlOrBr(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "colour"
)

scale_fill_YlOrBr(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "fill"
)

scale_edge_colour_YlOrBr(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "edge_colour"
)

scale_edge_color_YlOrBr(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "edge_colour"
)

scale_edge_fill_YlOrBr(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "edge_fill"
)

Arguments

...

Arguments passed to ggplot2::continuous_scale().

reverse

A logical scalar. Should the resulting vector of colors be reversed?

range

A length-two numeric vector specifying the fraction of the scheme's color domain to keep.

discrete

A logical scalar: should the color scheme be used as a discrete scale? If TRUE, it is a departure from Paul Tol's recommendations and likely a very poor use of color.

aesthetics

A character string or vector of character strings listing the name(s) of the aesthetic(s) that this scale works with.

Value

A continuous scale.

Sequential Color Schemes

If more colors than defined are needed from a given scheme, the color coordinates are linearly interpolated to provide a continuous version of the scheme.

Palette Max. NA value
YlOrBr 9 #888888
iridescent 23 #999999
discreterainbow 23 #777777
smoothrainbow 34 #666666

Author(s)

N. Frerebeau

References

Tol, P. (2018). Colour Schemes. SRON. Technical Note No. SRON/EPS/TN/09-002, issue 3.1. URL: https://personal.sron.nl/~pault/data/colourschemes.pdf

See Also

Other sequential color schemes: scale_crameri_acton, scale_crameri_bamako, scale_crameri_batlow, scale_crameri_batlowK, scale_crameri_batlowW, scale_crameri_bilbao, scale_crameri_buda, scale_crameri_davos, scale_crameri_devon, scale_crameri_grayC, scale_crameri_hawaii, scale_crameri_imola, scale_crameri_lajolla, scale_crameri_lapaz, scale_crameri_nuuk, scale_crameri_oslo, scale_crameri_tokyo, scale_crameri_turku, scale_tol_incandescent, scale_tol_iridescent, scale_tol_smoothrainbow

Other Paul Tol's color schemes: scale_tol_BuRd, scale_tol_PRGn, scale_tol_bright, scale_tol_dark, scale_tol_discreterainbow, scale_tol_highcontrast, scale_tol_incandescent, scale_tol_iridescent, scale_tol_light, scale_tol_mediumcontrast, scale_tol_muted, scale_tol_nightfall, scale_tol_pale, scale_tol_smoothrainbow, scale_tol_sunset, scale_tol_vibrant

Examples

data(faithfuld, package = "ggplot2")

ggplot2::ggplot(faithfuld, ggplot2::aes(waiting, eruptions, fill = density)) +
  ggplot2::geom_raster() +
  scale_fill_YlOrBr()

ggplot2::ggplot(faithfuld, ggplot2::aes(waiting, eruptions, fill = density)) +
  ggplot2::geom_raster() +
  scale_fill_iridescent(reverse = TRUE)

ggplot2::ggplot(faithfuld, ggplot2::aes(waiting, eruptions, fill = density)) +
  ggplot2::geom_raster() +
  scale_fill_smoothrainbow(range = c(0.25, 1))

Paul Tol's bright Discrete Color Scheme

Description

Paul Tol's bright Discrete Color Scheme

Usage

scale_colour_bright(..., reverse = FALSE, aesthetics = "colour")

scale_color_bright(..., reverse = FALSE, aesthetics = "colour")

scale_fill_bright(..., reverse = FALSE, aesthetics = "fill")

scale_edge_colour_bright(..., reverse = FALSE, aesthetics = "edge_colour")

scale_edge_color_bright(..., reverse = FALSE, aesthetics = "edge_colour")

scale_edge_fill_bright(..., reverse = FALSE, aesthetics = "edge_fill")

Arguments

...

Arguments passed to ggplot2::discrete_scale().

reverse

A logical scalar. Should the resulting vector of colors be reversed?

aesthetics

A character string or vector of character strings listing the name(s) of the aesthetic(s) that this scale works with.

Value

A discrete scale.

Qualitative Color Schemes

The qualitative color schemes are used as given (no interpolation): colors are picked up to the maximum number of supported values.

Palette Max.
bright 7
highcontrast 3
vibrant 7
muted 9
mediumcontrast 6
pale 6
dark 6
light 9

According to Paul Tol's technical note, the bright, highcontrast, vibrant and muted color schemes are color-blind safe. The mediumcontrast color scheme is designed for situations needing color pairs.

The light color scheme is reasonably distinct for both normal or colorblind vision and is intended to fill labeled cells.

The pale and dark schemes are not very distinct in either normal or colorblind vision and should be used as a text background or to highlight a cell in a table.

Refer to the original document for details about the recommended uses (see references)

Author(s)

N. Frerebeau

References

Tol, P. (2021). Colour Schemes. SRON. Technical Note No. SRON/EPS/TN/09-002, issue 3.2. URL: https://personal.sron.nl/~pault/data/colourschemes.pdf

See Also

Other qualitative color schemes: scale_colour_land(), scale_colour_soil(), scale_colour_stratigraphy(), scale_okabeito_discrete, scale_tol_dark, scale_tol_discreterainbow, scale_tol_highcontrast, scale_tol_light, scale_tol_mediumcontrast, scale_tol_muted, scale_tol_pale, scale_tol_vibrant

Other Paul Tol's color schemes: scale_tol_BuRd, scale_tol_PRGn, scale_tol_YlOrBr, scale_tol_dark, scale_tol_discreterainbow, scale_tol_highcontrast, scale_tol_incandescent, scale_tol_iridescent, scale_tol_light, scale_tol_mediumcontrast, scale_tol_muted, scale_tol_nightfall, scale_tol_pale, scale_tol_smoothrainbow, scale_tol_sunset, scale_tol_vibrant

Examples

data(mpg, package = "ggplot2")

ggplot2::ggplot(mpg, ggplot2::aes(displ, hwy, colour = class)) +
  ggplot2::geom_point() +
  scale_colour_bright()

ggplot2::ggplot(mpg, ggplot2::aes(displ, hwy, colour = class)) +
  ggplot2::geom_point() +
  scale_colour_vibrant()

data(diamonds, package = "ggplot2")

ggplot2::ggplot(diamonds, ggplot2::aes(clarity, fill = cut)) +
  ggplot2::geom_bar() +
  scale_fill_muted()

Paul Tol's dark Discrete Color Scheme

Description

Paul Tol's dark Discrete Color Scheme

Usage

scale_colour_dark(..., reverse = FALSE, aesthetics = "colour")

scale_color_dark(..., reverse = FALSE, aesthetics = "colour")

scale_fill_dark(..., reverse = FALSE, aesthetics = "fill")

scale_edge_colour_dark(..., reverse = FALSE, aesthetics = "edge_colour")

scale_edge_color_dark(..., reverse = FALSE, aesthetics = "edge_colour")

scale_edge_fill_dark(..., reverse = FALSE, aesthetics = "edge_fill")

Arguments

...

Arguments passed to ggplot2::discrete_scale().

reverse

A logical scalar. Should the resulting vector of colors be reversed?

aesthetics

A character string or vector of character strings listing the name(s) of the aesthetic(s) that this scale works with.

Value

A discrete scale.

Qualitative Color Schemes

The qualitative color schemes are used as given (no interpolation): colors are picked up to the maximum number of supported values.

Palette Max.
bright 7
highcontrast 3
vibrant 7
muted 9
mediumcontrast 6
pale 6
dark 6
light 9

According to Paul Tol's technical note, the bright, highcontrast, vibrant and muted color schemes are color-blind safe. The mediumcontrast color scheme is designed for situations needing color pairs.

The light color scheme is reasonably distinct for both normal or colorblind vision and is intended to fill labeled cells.

The pale and dark schemes are not very distinct in either normal or colorblind vision and should be used as a text background or to highlight a cell in a table.

Refer to the original document for details about the recommended uses (see references)

Author(s)

N. Frerebeau

References

Tol, P. (2021). Colour Schemes. SRON. Technical Note No. SRON/EPS/TN/09-002, issue 3.2. URL: https://personal.sron.nl/~pault/data/colourschemes.pdf

See Also

Other qualitative color schemes: scale_colour_land(), scale_colour_soil(), scale_colour_stratigraphy(), scale_okabeito_discrete, scale_tol_bright, scale_tol_discreterainbow, scale_tol_highcontrast, scale_tol_light, scale_tol_mediumcontrast, scale_tol_muted, scale_tol_pale, scale_tol_vibrant

Other Paul Tol's color schemes: scale_tol_BuRd, scale_tol_PRGn, scale_tol_YlOrBr, scale_tol_bright, scale_tol_discreterainbow, scale_tol_highcontrast, scale_tol_incandescent, scale_tol_iridescent, scale_tol_light, scale_tol_mediumcontrast, scale_tol_muted, scale_tol_nightfall, scale_tol_pale, scale_tol_smoothrainbow, scale_tol_sunset, scale_tol_vibrant

Examples

data(mpg, package = "ggplot2")

ggplot2::ggplot(mpg, ggplot2::aes(displ, hwy, colour = class)) +
  ggplot2::geom_point() +
  scale_colour_bright()

ggplot2::ggplot(mpg, ggplot2::aes(displ, hwy, colour = class)) +
  ggplot2::geom_point() +
  scale_colour_vibrant()

data(diamonds, package = "ggplot2")

ggplot2::ggplot(diamonds, ggplot2::aes(clarity, fill = cut)) +
  ggplot2::geom_bar() +
  scale_fill_muted()

Paul Tol's discrete rainbow Sequential Color Scheme

Description

Paul Tol's discrete rainbow Sequential Color Scheme

Usage

scale_colour_discreterainbow(..., reverse = FALSE, aesthetics = "colour")

scale_color_discreterainbow(..., reverse = FALSE, aesthetics = "colour")

scale_fill_discreterainbow(..., reverse = FALSE, aesthetics = "fill")

scale_edge_colour_discreterainbow(
  ...,
  reverse = FALSE,
  aesthetics = "edge_colour"
)

scale_edge_color_discreterainbow(
  ...,
  reverse = FALSE,
  aesthetics = "edge_colour"
)

scale_edge_fill_discreterainbow(..., reverse = FALSE, aesthetics = "edge_fill")

Arguments

...

Arguments passed to ggplot2::discrete_scale().

reverse

A logical scalar. Should the resulting vector of colors be reversed?

aesthetics

A character string or vector of character strings listing the name(s) of the aesthetic(s) that this scale works with.

Value

A discrete scale.

Sequential Color Schemes

If more colors than defined are needed from a given scheme, the color coordinates are linearly interpolated to provide a continuous version of the scheme.

Palette Max. NA value
YlOrBr 9 #888888
iridescent 23 #999999
discreterainbow 23 #777777
smoothrainbow 34 #666666

Rainbow Color Scheme

As a general rule, ordered data should not be represented using a rainbow scheme. There are three main arguments against such use (Tol 2018):

If such use cannot be avoided, Paul Tol's technical note provides two color schemes that are reasonably clear in color-blind vision. To remain color-blind safe, these two schemes must comply with the following conditions:

discreterainbow

This scheme must not be interpolated.

smoothrainbow

This scheme does not have to be used over the full range.

Author(s)

N. Frerebeau

References

Tol, P. (2018). Colour Schemes. SRON. Technical Note No. SRON/EPS/TN/09-002, issue 3.1. URL: https://personal.sron.nl/~pault/data/colourschemes.pdf

See Also

Other qualitative color schemes: scale_colour_land(), scale_colour_soil(), scale_colour_stratigraphy(), scale_okabeito_discrete, scale_tol_bright, scale_tol_dark, scale_tol_highcontrast, scale_tol_light, scale_tol_mediumcontrast, scale_tol_muted, scale_tol_pale, scale_tol_vibrant

Other Paul Tol's color schemes: scale_tol_BuRd, scale_tol_PRGn, scale_tol_YlOrBr, scale_tol_bright, scale_tol_dark, scale_tol_highcontrast, scale_tol_incandescent, scale_tol_iridescent, scale_tol_light, scale_tol_mediumcontrast, scale_tol_muted, scale_tol_nightfall, scale_tol_pale, scale_tol_smoothrainbow, scale_tol_sunset, scale_tol_vibrant

Examples

data(mpg, package = "ggplot2")

ggplot2::ggplot(mpg, ggplot2::aes(displ, hwy, colour = class)) +
  ggplot2::geom_point() +
  scale_colour_bright()

ggplot2::ggplot(mpg, ggplot2::aes(displ, hwy, colour = class)) +
  ggplot2::geom_point() +
  scale_colour_vibrant()

data(diamonds, package = "ggplot2")

ggplot2::ggplot(diamonds, ggplot2::aes(clarity, fill = cut)) +
  ggplot2::geom_bar() +
  scale_fill_muted()

Paul Tol's high contrast Discrete Color Scheme

Description

Paul Tol's high contrast Discrete Color Scheme

Usage

scale_colour_highcontrast(..., reverse = FALSE, aesthetics = "colour")

scale_color_highcontrast(..., reverse = FALSE, aesthetics = "colour")

scale_fill_highcontrast(..., reverse = FALSE, aesthetics = "fill")

scale_edge_colour_highcontrast(
  ...,
  reverse = FALSE,
  aesthetics = "edge_colour"
)

scale_edge_color_highcontrast(..., reverse = FALSE, aesthetics = "edge_colour")

scale_edge_fill_highcontrast(..., reverse = FALSE, aesthetics = "edge_fill")

Arguments

...

Arguments passed to ggplot2::discrete_scale().

reverse

A logical scalar. Should the resulting vector of colors be reversed?

aesthetics

A character string or vector of character strings listing the name(s) of the aesthetic(s) that this scale works with.

Value

A discrete scale.

Qualitative Color Schemes

The qualitative color schemes are used as given (no interpolation): colors are picked up to the maximum number of supported values.

Palette Max.
bright 7
highcontrast 3
vibrant 7
muted 9
mediumcontrast 6
pale 6
dark 6
light 9

According to Paul Tol's technical note, the bright, highcontrast, vibrant and muted color schemes are color-blind safe. The mediumcontrast color scheme is designed for situations needing color pairs.

The light color scheme is reasonably distinct for both normal or colorblind vision and is intended to fill labeled cells.

The pale and dark schemes are not very distinct in either normal or colorblind vision and should be used as a text background or to highlight a cell in a table.

Refer to the original document for details about the recommended uses (see references)

Author(s)

N. Frerebeau

References

Tol, P. (2021). Colour Schemes. SRON. Technical Note No. SRON/EPS/TN/09-002, issue 3.2. URL: https://personal.sron.nl/~pault/data/colourschemes.pdf

See Also

Other qualitative color schemes: scale_colour_land(), scale_colour_soil(), scale_colour_stratigraphy(), scale_okabeito_discrete, scale_tol_bright, scale_tol_dark, scale_tol_discreterainbow, scale_tol_light, scale_tol_mediumcontrast, scale_tol_muted, scale_tol_pale, scale_tol_vibrant

Other Paul Tol's color schemes: scale_tol_BuRd, scale_tol_PRGn, scale_tol_YlOrBr, scale_tol_bright, scale_tol_dark, scale_tol_discreterainbow, scale_tol_incandescent, scale_tol_iridescent, scale_tol_light, scale_tol_mediumcontrast, scale_tol_muted, scale_tol_nightfall, scale_tol_pale, scale_tol_smoothrainbow, scale_tol_sunset, scale_tol_vibrant

Examples

data(mpg, package = "ggplot2")

ggplot2::ggplot(mpg, ggplot2::aes(displ, hwy, colour = class)) +
  ggplot2::geom_point() +
  scale_colour_bright()

ggplot2::ggplot(mpg, ggplot2::aes(displ, hwy, colour = class)) +
  ggplot2::geom_point() +
  scale_colour_vibrant()

data(diamonds, package = "ggplot2")

ggplot2::ggplot(diamonds, ggplot2::aes(clarity, fill = cut)) +
  ggplot2::geom_bar() +
  scale_fill_muted()

Paul Tol's incandescent Sequential Color Scheme

Description

Paul Tol's incandescent Sequential Color Scheme

Usage

scale_colour_incandescent(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "colour"
)

scale_color_incandescent(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "colour"
)

scale_fill_incandescent(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "fill"
)

scale_edge_colour_incandescent(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "edge_colour"
)

scale_edge_color_incandescent(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "edge_colour"
)

scale_edge_fill_incandescent(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "edge_fill"
)

Arguments

...

Arguments passed to ggplot2::continuous_scale().

reverse

A logical scalar. Should the resulting vector of colors be reversed?

range

A length-two numeric vector specifying the fraction of the scheme's color domain to keep.

discrete

A logical scalar: should the color scheme be used as a discrete scale? If TRUE, it is a departure from Paul Tol's recommendations and likely a very poor use of color.

aesthetics

A character string or vector of character strings listing the name(s) of the aesthetic(s) that this scale works with.

Value

A continuous scale.

Sequential Color Schemes

If more colors than defined are needed from a given scheme, the color coordinates are linearly interpolated to provide a continuous version of the scheme.

Palette Max. NA value
YlOrBr 9 #888888
iridescent 23 #999999
discreterainbow 23 #777777
smoothrainbow 34 #666666

Author(s)

N. Frerebeau

References

Tol, P. (2018). Colour Schemes. SRON. Technical Note No. SRON/EPS/TN/09-002, issue 3.1. URL: https://personal.sron.nl/~pault/data/colourschemes.pdf

See Also

Other sequential color schemes: scale_crameri_acton, scale_crameri_bamako, scale_crameri_batlow, scale_crameri_batlowK, scale_crameri_batlowW, scale_crameri_bilbao, scale_crameri_buda, scale_crameri_davos, scale_crameri_devon, scale_crameri_grayC, scale_crameri_hawaii, scale_crameri_imola, scale_crameri_lajolla, scale_crameri_lapaz, scale_crameri_nuuk, scale_crameri_oslo, scale_crameri_tokyo, scale_crameri_turku, scale_tol_YlOrBr, scale_tol_iridescent, scale_tol_smoothrainbow

Other Paul Tol's color schemes: scale_tol_BuRd, scale_tol_PRGn, scale_tol_YlOrBr, scale_tol_bright, scale_tol_dark, scale_tol_discreterainbow, scale_tol_highcontrast, scale_tol_iridescent, scale_tol_light, scale_tol_mediumcontrast, scale_tol_muted, scale_tol_nightfall, scale_tol_pale, scale_tol_smoothrainbow, scale_tol_sunset, scale_tol_vibrant

Examples

data(faithfuld, package = "ggplot2")

ggplot2::ggplot(faithfuld, ggplot2::aes(waiting, eruptions, fill = density)) +
  ggplot2::geom_raster() +
  scale_fill_YlOrBr()

ggplot2::ggplot(faithfuld, ggplot2::aes(waiting, eruptions, fill = density)) +
  ggplot2::geom_raster() +
  scale_fill_iridescent(reverse = TRUE)

ggplot2::ggplot(faithfuld, ggplot2::aes(waiting, eruptions, fill = density)) +
  ggplot2::geom_raster() +
  scale_fill_smoothrainbow(range = c(0.25, 1))

Paul Tol's iridescent Sequential Color Scheme

Description

Paul Tol's iridescent Sequential Color Scheme

Usage

scale_colour_iridescent(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "colour"
)

scale_color_iridescent(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "colour"
)

scale_fill_iridescent(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "fill"
)

scale_edge_colour_iridescent(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "edge_colour"
)

scale_edge_color_iridescent(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "edge_colour"
)

scale_edge_fill_iridescent(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "edge_fill"
)

Arguments

...

Arguments passed to ggplot2::continuous_scale().

reverse

A logical scalar. Should the resulting vector of colors be reversed?

range

A length-two numeric vector specifying the fraction of the scheme's color domain to keep.

discrete

A logical scalar: should the color scheme be used as a discrete scale? If TRUE, it is a departure from Paul Tol's recommendations and likely a very poor use of color.

aesthetics

A character string or vector of character strings listing the name(s) of the aesthetic(s) that this scale works with.

Value

A continuous scale.

Sequential Color Schemes

If more colors than defined are needed from a given scheme, the color coordinates are linearly interpolated to provide a continuous version of the scheme.

Palette Max. NA value
YlOrBr 9 #888888
iridescent 23 #999999
discreterainbow 23 #777777
smoothrainbow 34 #666666

Author(s)

N. Frerebeau

References

Tol, P. (2018). Colour Schemes. SRON. Technical Note No. SRON/EPS/TN/09-002, issue 3.1. URL: https://personal.sron.nl/~pault/data/colourschemes.pdf

See Also

Other sequential color schemes: scale_crameri_acton, scale_crameri_bamako, scale_crameri_batlow, scale_crameri_batlowK, scale_crameri_batlowW, scale_crameri_bilbao, scale_crameri_buda, scale_crameri_davos, scale_crameri_devon, scale_crameri_grayC, scale_crameri_hawaii, scale_crameri_imola, scale_crameri_lajolla, scale_crameri_lapaz, scale_crameri_nuuk, scale_crameri_oslo, scale_crameri_tokyo, scale_crameri_turku, scale_tol_YlOrBr, scale_tol_incandescent, scale_tol_smoothrainbow

Other Paul Tol's color schemes: scale_tol_BuRd, scale_tol_PRGn, scale_tol_YlOrBr, scale_tol_bright, scale_tol_dark, scale_tol_discreterainbow, scale_tol_highcontrast, scale_tol_incandescent, scale_tol_light, scale_tol_mediumcontrast, scale_tol_muted, scale_tol_nightfall, scale_tol_pale, scale_tol_smoothrainbow, scale_tol_sunset, scale_tol_vibrant

Examples

data(faithfuld, package = "ggplot2")

ggplot2::ggplot(faithfuld, ggplot2::aes(waiting, eruptions, fill = density)) +
  ggplot2::geom_raster() +
  scale_fill_YlOrBr()

ggplot2::ggplot(faithfuld, ggplot2::aes(waiting, eruptions, fill = density)) +
  ggplot2::geom_raster() +
  scale_fill_iridescent(reverse = TRUE)

ggplot2::ggplot(faithfuld, ggplot2::aes(waiting, eruptions, fill = density)) +
  ggplot2::geom_raster() +
  scale_fill_smoothrainbow(range = c(0.25, 1))

Paul Tol's light Discrete Color Scheme

Description

Paul Tol's light Discrete Color Scheme

Usage

scale_colour_light(..., reverse = FALSE, aesthetics = "colour")

scale_color_light(..., reverse = FALSE, aesthetics = "colour")

scale_fill_light(..., reverse = FALSE, aesthetics = "fill")

scale_edge_colour_light(..., reverse = FALSE, aesthetics = "edge_colour")

scale_edge_color_light(..., reverse = FALSE, aesthetics = "edge_colour")

scale_edge_fill_light(..., reverse = FALSE, aesthetics = "edge_fill")

Arguments

...

Arguments passed to ggplot2::discrete_scale().

reverse

A logical scalar. Should the resulting vector of colors be reversed?

aesthetics

A character string or vector of character strings listing the name(s) of the aesthetic(s) that this scale works with.

Value

A discrete scale.

Qualitative Color Schemes

The qualitative color schemes are used as given (no interpolation): colors are picked up to the maximum number of supported values.

Palette Max.
bright 7
highcontrast 3
vibrant 7
muted 9
mediumcontrast 6
pale 6
dark 6
light 9

According to Paul Tol's technical note, the bright, highcontrast, vibrant and muted color schemes are color-blind safe. The mediumcontrast color scheme is designed for situations needing color pairs.

The light color scheme is reasonably distinct for both normal or colorblind vision and is intended to fill labeled cells.

The pale and dark schemes are not very distinct in either normal or colorblind vision and should be used as a text background or to highlight a cell in a table.

Refer to the original document for details about the recommended uses (see references)

Author(s)

N. Frerebeau

References

Tol, P. (2021). Colour Schemes. SRON. Technical Note No. SRON/EPS/TN/09-002, issue 3.2. URL: https://personal.sron.nl/~pault/data/colourschemes.pdf

See Also

Other qualitative color schemes: scale_colour_land(), scale_colour_soil(), scale_colour_stratigraphy(), scale_okabeito_discrete, scale_tol_bright, scale_tol_dark, scale_tol_discreterainbow, scale_tol_highcontrast, scale_tol_mediumcontrast, scale_tol_muted, scale_tol_pale, scale_tol_vibrant

Other Paul Tol's color schemes: scale_tol_BuRd, scale_tol_PRGn, scale_tol_YlOrBr, scale_tol_bright, scale_tol_dark, scale_tol_discreterainbow, scale_tol_highcontrast, scale_tol_incandescent, scale_tol_iridescent, scale_tol_mediumcontrast, scale_tol_muted, scale_tol_nightfall, scale_tol_pale, scale_tol_smoothrainbow, scale_tol_sunset, scale_tol_vibrant

Examples

data(mpg, package = "ggplot2")

ggplot2::ggplot(mpg, ggplot2::aes(displ, hwy, colour = class)) +
  ggplot2::geom_point() +
  scale_colour_bright()

ggplot2::ggplot(mpg, ggplot2::aes(displ, hwy, colour = class)) +
  ggplot2::geom_point() +
  scale_colour_vibrant()

data(diamonds, package = "ggplot2")

ggplot2::ggplot(diamonds, ggplot2::aes(clarity, fill = cut)) +
  ggplot2::geom_bar() +
  scale_fill_muted()

Paul Tol's medium contrast Discrete Color Scheme

Description

Paul Tol's medium contrast Discrete Color Scheme

Usage

scale_colour_mediumcontrast(..., reverse = FALSE, aesthetics = "colour")

scale_color_mediumcontrast(..., reverse = FALSE, aesthetics = "colour")

scale_fill_mediumcontrast(..., reverse = FALSE, aesthetics = "fill")

scale_edge_colour_mediumcontrast(
  ...,
  reverse = FALSE,
  aesthetics = "edge_colour"
)

scale_edge_color_mediumcontrast(
  ...,
  reverse = FALSE,
  aesthetics = "edge_colour"
)

scale_edge_fill_mediumcontrast(..., reverse = FALSE, aesthetics = "edge_fill")

Arguments

...

Arguments passed to ggplot2::discrete_scale().

reverse

A logical scalar. Should the resulting vector of colors be reversed?

aesthetics

A character string or vector of character strings listing the name(s) of the aesthetic(s) that this scale works with.

Value

A discrete scale.

Qualitative Color Schemes

The qualitative color schemes are used as given (no interpolation): colors are picked up to the maximum number of supported values.

Palette Max.
bright 7
highcontrast 3
vibrant 7
muted 9
mediumcontrast 6
pale 6
dark 6
light 9

According to Paul Tol's technical note, the bright, highcontrast, vibrant and muted color schemes are color-blind safe. The mediumcontrast color scheme is designed for situations needing color pairs.

The light color scheme is reasonably distinct for both normal or colorblind vision and is intended to fill labeled cells.

The pale and dark schemes are not very distinct in either normal or colorblind vision and should be used as a text background or to highlight a cell in a table.

Refer to the original document for details about the recommended uses (see references)

Author(s)

N. Frerebeau

References

Tol, P. (2021). Colour Schemes. SRON. Technical Note No. SRON/EPS/TN/09-002, issue 3.2. URL: https://personal.sron.nl/~pault/data/colourschemes.pdf

See Also

Other qualitative color schemes: scale_colour_land(), scale_colour_soil(), scale_colour_stratigraphy(), scale_okabeito_discrete, scale_tol_bright, scale_tol_dark, scale_tol_discreterainbow, scale_tol_highcontrast, scale_tol_light, scale_tol_muted, scale_tol_pale, scale_tol_vibrant

Other Paul Tol's color schemes: scale_tol_BuRd, scale_tol_PRGn, scale_tol_YlOrBr, scale_tol_bright, scale_tol_dark, scale_tol_discreterainbow, scale_tol_highcontrast, scale_tol_incandescent, scale_tol_iridescent, scale_tol_light, scale_tol_muted, scale_tol_nightfall, scale_tol_pale, scale_tol_smoothrainbow, scale_tol_sunset, scale_tol_vibrant

Examples

data(mpg, package = "ggplot2")

ggplot2::ggplot(mpg, ggplot2::aes(displ, hwy, colour = class)) +
  ggplot2::geom_point() +
  scale_colour_bright()

ggplot2::ggplot(mpg, ggplot2::aes(displ, hwy, colour = class)) +
  ggplot2::geom_point() +
  scale_colour_vibrant()

data(diamonds, package = "ggplot2")

ggplot2::ggplot(diamonds, ggplot2::aes(clarity, fill = cut)) +
  ggplot2::geom_bar() +
  scale_fill_muted()

Paul Tol's muted Discrete Color Scheme

Description

Paul Tol's muted Discrete Color Scheme

Usage

scale_colour_muted(..., reverse = FALSE, aesthetics = "colour")

scale_color_muted(..., reverse = FALSE, aesthetics = "colour")

scale_fill_muted(..., reverse = FALSE, aesthetics = "fill")

scale_edge_colour_muted(..., reverse = FALSE, aesthetics = "edge_colour")

scale_edge_color_muted(..., reverse = FALSE, aesthetics = "edge_colour")

scale_edge_fill_muted(..., reverse = FALSE, aesthetics = "edge_fill")

Arguments

...

Arguments passed to ggplot2::discrete_scale().

reverse

A logical scalar. Should the resulting vector of colors be reversed?

aesthetics

A character string or vector of character strings listing the name(s) of the aesthetic(s) that this scale works with.

Value

A discrete scale.

Qualitative Color Schemes

The qualitative color schemes are used as given (no interpolation): colors are picked up to the maximum number of supported values.

Palette Max.
bright 7
highcontrast 3
vibrant 7
muted 9
mediumcontrast 6
pale 6
dark 6
light 9

According to Paul Tol's technical note, the bright, highcontrast, vibrant and muted color schemes are color-blind safe. The mediumcontrast color scheme is designed for situations needing color pairs.

The light color scheme is reasonably distinct for both normal or colorblind vision and is intended to fill labeled cells.

The pale and dark schemes are not very distinct in either normal or colorblind vision and should be used as a text background or to highlight a cell in a table.

Refer to the original document for details about the recommended uses (see references)

Author(s)

N. Frerebeau

References

Tol, P. (2021). Colour Schemes. SRON. Technical Note No. SRON/EPS/TN/09-002, issue 3.2. URL: https://personal.sron.nl/~pault/data/colourschemes.pdf

See Also

Other qualitative color schemes: scale_colour_land(), scale_colour_soil(), scale_colour_stratigraphy(), scale_okabeito_discrete, scale_tol_bright, scale_tol_dark, scale_tol_discreterainbow, scale_tol_highcontrast, scale_tol_light, scale_tol_mediumcontrast, scale_tol_pale, scale_tol_vibrant

Other Paul Tol's color schemes: scale_tol_BuRd, scale_tol_PRGn, scale_tol_YlOrBr, scale_tol_bright, scale_tol_dark, scale_tol_discreterainbow, scale_tol_highcontrast, scale_tol_incandescent, scale_tol_iridescent, scale_tol_light, scale_tol_mediumcontrast, scale_tol_nightfall, scale_tol_pale, scale_tol_smoothrainbow, scale_tol_sunset, scale_tol_vibrant

Examples

data(mpg, package = "ggplot2")

ggplot2::ggplot(mpg, ggplot2::aes(displ, hwy, colour = class)) +
  ggplot2::geom_point() +
  scale_colour_bright()

ggplot2::ggplot(mpg, ggplot2::aes(displ, hwy, colour = class)) +
  ggplot2::geom_point() +
  scale_colour_vibrant()

data(diamonds, package = "ggplot2")

ggplot2::ggplot(diamonds, ggplot2::aes(clarity, fill = cut)) +
  ggplot2::geom_bar() +
  scale_fill_muted()

Paul Tol's nightfall Diverging Color Scheme

Description

Paul Tol's nightfall Diverging Color Scheme

Usage

scale_colour_nightfall(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  midpoint = 0,
  discrete = FALSE,
  aesthetics = "colour"
)

scale_color_nightfall(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  midpoint = 0,
  discrete = FALSE,
  aesthetics = "colour"
)

scale_fill_nightfall(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  midpoint = 0,
  discrete = FALSE,
  aesthetics = "fill"
)

scale_edge_colour_nightfall(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  midpoint = 0,
  discrete = FALSE,
  aesthetics = "edge_colour"
)

scale_edge_color_nightfall(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  midpoint = 0,
  discrete = FALSE,
  aesthetics = "edge_colour"
)

scale_edge_fill_nightfall(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  midpoint = 0,
  discrete = FALSE,
  aesthetics = "edge_fill"
)

Arguments

...

Arguments passed to ggplot2::continuous_scale().

reverse

A logical scalar. Should the resulting vector of colors be reversed?

range

A length-two numeric vector specifying the fraction of the scheme's color domain to keep.

midpoint

A length-one numeric vector giving the midpoint (in data value) of the diverging scale. Defaults to 0.

discrete

A logical scalar: should the color scheme be used as a discrete scale? If TRUE, it is a departure from Paul Tol's recommendations and likely a very poor use of color.

aesthetics

A character string or vector of character strings listing the name(s) of the aesthetic(s) that this scale works with.

Value

A continuous scale.

Diverging Color Schemes

If more colors than defined are needed from a given scheme, the color coordinates are linearly interpolated to provide a continuous version of the scheme.

Palette Max. NA value
sunset 11 #FFFFFF
nightfall 17 #FFFFFF
BuRd 9 #FFEE99
PRGn 9 #FFEE99

Author(s)

N. Frerebeau

References

Tol, P. (2018). Colour Schemes. SRON. Technical Note No. SRON/EPS/TN/09-002, issue 3.1. URL: https://personal.sron.nl/~pault/data/colourschemes.pdf

See Also

Other diverging color schemes: scale_crameri_bam, scale_crameri_berlin, scale_crameri_broc, scale_crameri_cork, scale_crameri_lisbon, scale_crameri_roma, scale_crameri_tofino, scale_crameri_vanimo, scale_crameri_vik, scale_tol_BuRd, scale_tol_PRGn, scale_tol_sunset

Other Paul Tol's color schemes: scale_tol_BuRd, scale_tol_PRGn, scale_tol_YlOrBr, scale_tol_bright, scale_tol_dark, scale_tol_discreterainbow, scale_tol_highcontrast, scale_tol_incandescent, scale_tol_iridescent, scale_tol_light, scale_tol_mediumcontrast, scale_tol_muted, scale_tol_pale, scale_tol_smoothrainbow, scale_tol_sunset, scale_tol_vibrant

Examples

data(economics, package = "ggplot2")

ggplot2::ggplot(economics, ggplot2::aes(psavert, pce, colour = unemploy)) +
  ggplot2::geom_point() +
  scale_color_sunset(reverse = TRUE, midpoint = 12000)

ggplot2::ggplot(economics, ggplot2::aes(psavert, pce, colour = unemploy)) +
  ggplot2::geom_point() +
  scale_color_BuRd(midpoint = 9000)

ggplot2::ggplot(economics, ggplot2::aes(psavert, pce, colour = unemploy)) +
  ggplot2::geom_point() +
  scale_color_PRGn(midpoint = 9000, range = c(0.25, 1))

Paul Tol's pale Discrete Color Scheme

Description

Paul Tol's pale Discrete Color Scheme

Usage

scale_colour_pale(..., reverse = FALSE, aesthetics = "colour")

scale_color_pale(..., reverse = FALSE, aesthetics = "colour")

scale_fill_pale(..., reverse = FALSE, aesthetics = "fill")

scale_edge_colour_pale(..., reverse = FALSE, aesthetics = "edge_colour")

scale_edge_color_pale(..., reverse = FALSE, aesthetics = "edge_colour")

scale_edge_fill_pale(..., reverse = FALSE, aesthetics = "edge_fill")

Arguments

...

Arguments passed to ggplot2::discrete_scale().

reverse

A logical scalar. Should the resulting vector of colors be reversed?

aesthetics

A character string or vector of character strings listing the name(s) of the aesthetic(s) that this scale works with.

Value

A discrete scale.

Qualitative Color Schemes

The qualitative color schemes are used as given (no interpolation): colors are picked up to the maximum number of supported values.

Palette Max.
bright 7
highcontrast 3
vibrant 7
muted 9
mediumcontrast 6
pale 6
dark 6
light 9

According to Paul Tol's technical note, the bright, highcontrast, vibrant and muted color schemes are color-blind safe. The mediumcontrast color scheme is designed for situations needing color pairs.

The light color scheme is reasonably distinct for both normal or colorblind vision and is intended to fill labeled cells.

The pale and dark schemes are not very distinct in either normal or colorblind vision and should be used as a text background or to highlight a cell in a table.

Refer to the original document for details about the recommended uses (see references)

Author(s)

N. Frerebeau

References

Tol, P. (2021). Colour Schemes. SRON. Technical Note No. SRON/EPS/TN/09-002, issue 3.2. URL: https://personal.sron.nl/~pault/data/colourschemes.pdf

See Also

Other qualitative color schemes: scale_colour_land(), scale_colour_soil(), scale_colour_stratigraphy(), scale_okabeito_discrete, scale_tol_bright, scale_tol_dark, scale_tol_discreterainbow, scale_tol_highcontrast, scale_tol_light, scale_tol_mediumcontrast, scale_tol_muted, scale_tol_vibrant

Other Paul Tol's color schemes: scale_tol_BuRd, scale_tol_PRGn, scale_tol_YlOrBr, scale_tol_bright, scale_tol_dark, scale_tol_discreterainbow, scale_tol_highcontrast, scale_tol_incandescent, scale_tol_iridescent, scale_tol_light, scale_tol_mediumcontrast, scale_tol_muted, scale_tol_nightfall, scale_tol_smoothrainbow, scale_tol_sunset, scale_tol_vibrant

Examples

data(mpg, package = "ggplot2")

ggplot2::ggplot(mpg, ggplot2::aes(displ, hwy, colour = class)) +
  ggplot2::geom_point() +
  scale_colour_bright()

ggplot2::ggplot(mpg, ggplot2::aes(displ, hwy, colour = class)) +
  ggplot2::geom_point() +
  scale_colour_vibrant()

data(diamonds, package = "ggplot2")

ggplot2::ggplot(diamonds, ggplot2::aes(clarity, fill = cut)) +
  ggplot2::geom_bar() +
  scale_fill_muted()

Paul Tol's smooth rainbow Sequential Color Scheme

Description

Paul Tol's smooth rainbow Sequential Color Scheme

Usage

scale_colour_smoothrainbow(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "colour"
)

scale_color_smoothrainbow(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "colour"
)

scale_fill_smoothrainbow(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "fill"
)

scale_edge_colour_smoothrainbow(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "edge_colour"
)

scale_edge_color_smoothrainbow(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "edge_colour"
)

scale_edge_fill_smoothrainbow(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  discrete = FALSE,
  aesthetics = "edge_fill"
)

Arguments

...

Arguments passed to ggplot2::continuous_scale().

reverse

A logical scalar. Should the resulting vector of colors be reversed?

range

A length-two numeric vector specifying the fraction of the scheme's color domain to keep.

discrete

A logical scalar: should the color scheme be used as a discrete scale? If TRUE, it is a departure from Paul Tol's recommendations and likely a very poor use of color.

aesthetics

A character string or vector of character strings listing the name(s) of the aesthetic(s) that this scale works with.

Value

A continuous scale.

Sequential Color Schemes

If more colors than defined are needed from a given scheme, the color coordinates are linearly interpolated to provide a continuous version of the scheme.

Palette Max. NA value
YlOrBr 9 #888888
iridescent 23 #999999
discreterainbow 23 #777777
smoothrainbow 34 #666666

Rainbow Color Scheme

As a general rule, ordered data should not be represented using a rainbow scheme. There are three main arguments against such use (Tol 2018):

If such use cannot be avoided, Paul Tol's technical note provides two color schemes that are reasonably clear in color-blind vision. To remain color-blind safe, these two schemes must comply with the following conditions:

discreterainbow

This scheme must not be interpolated.

smoothrainbow

This scheme does not have to be used over the full range.

Author(s)

N. Frerebeau

References

Tol, P. (2018). Colour Schemes. SRON. Technical Note No. SRON/EPS/TN/09-002, issue 3.1. URL: https://personal.sron.nl/~pault/data/colourschemes.pdf

See Also

Other sequential color schemes: scale_crameri_acton, scale_crameri_bamako, scale_crameri_batlow, scale_crameri_batlowK, scale_crameri_batlowW, scale_crameri_bilbao, scale_crameri_buda, scale_crameri_davos, scale_crameri_devon, scale_crameri_grayC, scale_crameri_hawaii, scale_crameri_imola, scale_crameri_lajolla, scale_crameri_lapaz, scale_crameri_nuuk, scale_crameri_oslo, scale_crameri_tokyo, scale_crameri_turku, scale_tol_YlOrBr, scale_tol_incandescent, scale_tol_iridescent

Other Paul Tol's color schemes: scale_tol_BuRd, scale_tol_PRGn, scale_tol_YlOrBr, scale_tol_bright, scale_tol_dark, scale_tol_discreterainbow, scale_tol_highcontrast, scale_tol_incandescent, scale_tol_iridescent, scale_tol_light, scale_tol_mediumcontrast, scale_tol_muted, scale_tol_nightfall, scale_tol_pale, scale_tol_sunset, scale_tol_vibrant

Examples

data(faithfuld, package = "ggplot2")

ggplot2::ggplot(faithfuld, ggplot2::aes(waiting, eruptions, fill = density)) +
  ggplot2::geom_raster() +
  scale_fill_YlOrBr()

ggplot2::ggplot(faithfuld, ggplot2::aes(waiting, eruptions, fill = density)) +
  ggplot2::geom_raster() +
  scale_fill_iridescent(reverse = TRUE)

ggplot2::ggplot(faithfuld, ggplot2::aes(waiting, eruptions, fill = density)) +
  ggplot2::geom_raster() +
  scale_fill_smoothrainbow(range = c(0.25, 1))

Paul Tol's sunset Diverging Color Scheme

Description

Paul Tol's sunset Diverging Color Scheme

Usage

scale_colour_sunset(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  midpoint = 0,
  discrete = FALSE,
  aesthetics = "colour"
)

scale_color_sunset(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  midpoint = 0,
  discrete = FALSE,
  aesthetics = "colour"
)

scale_fill_sunset(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  midpoint = 0,
  discrete = FALSE,
  aesthetics = "fill"
)

scale_edge_colour_sunset(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  midpoint = 0,
  discrete = FALSE,
  aesthetics = "edge_colour"
)

scale_edge_color_sunset(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  midpoint = 0,
  discrete = FALSE,
  aesthetics = "edge_colour"
)

scale_edge_fill_sunset(
  ...,
  reverse = FALSE,
  range = c(0, 1),
  midpoint = 0,
  discrete = FALSE,
  aesthetics = "edge_fill"
)

Arguments

...

Arguments passed to ggplot2::continuous_scale().

reverse

A logical scalar. Should the resulting vector of colors be reversed?

range

A length-two numeric vector specifying the fraction of the scheme's color domain to keep.

midpoint

A length-one numeric vector giving the midpoint (in data value) of the diverging scale. Defaults to 0.

discrete

A logical scalar: should the color scheme be used as a discrete scale? If TRUE, it is a departure from Paul Tol's recommendations and likely a very poor use of color.

aesthetics

A character string or vector of character strings listing the name(s) of the aesthetic(s) that this scale works with.

Value

A continuous scale.

Diverging Color Schemes

If more colors than defined are needed from a given scheme, the color coordinates are linearly interpolated to provide a continuous version of the scheme.

Palette Max. NA value
sunset 11 #FFFFFF
nightfall 17 #FFFFFF
BuRd 9 #FFEE99
PRGn 9 #FFEE99

Author(s)

N. Frerebeau

References

Tol, P. (2018). Colour Schemes. SRON. Technical Note No. SRON/EPS/TN/09-002, issue 3.1. URL: https://personal.sron.nl/~pault/data/colourschemes.pdf

See Also

Other diverging color schemes: scale_crameri_bam, scale_crameri_berlin, scale_crameri_broc, scale_crameri_cork, scale_crameri_lisbon, scale_crameri_roma, scale_crameri_tofino, scale_crameri_vanimo, scale_crameri_vik, scale_tol_BuRd, scale_tol_PRGn, scale_tol_nightfall

Other Paul Tol's color schemes: scale_tol_BuRd, scale_tol_PRGn, scale_tol_YlOrBr, scale_tol_bright, scale_tol_dark, scale_tol_discreterainbow, scale_tol_highcontrast, scale_tol_incandescent, scale_tol_iridescent, scale_tol_light, scale_tol_mediumcontrast, scale_tol_muted, scale_tol_nightfall, scale_tol_pale, scale_tol_smoothrainbow, scale_tol_vibrant

Examples

data(economics, package = "ggplot2")

ggplot2::ggplot(economics, ggplot2::aes(psavert, pce, colour = unemploy)) +
  ggplot2::geom_point() +
  scale_color_sunset(reverse = TRUE, midpoint = 12000)

ggplot2::ggplot(economics, ggplot2::aes(psavert, pce, colour = unemploy)) +
  ggplot2::geom_point() +
  scale_color_BuRd(midpoint = 9000)

ggplot2::ggplot(economics, ggplot2::aes(psavert, pce, colour = unemploy)) +
  ggplot2::geom_point() +
  scale_color_PRGn(midpoint = 9000, range = c(0.25, 1))

Paul Tol's vibrant Discrete Color Scheme

Description

Paul Tol's vibrant Discrete Color Scheme

Usage

scale_colour_vibrant(..., reverse = FALSE, aesthetics = "colour")

scale_color_vibrant(..., reverse = FALSE, aesthetics = "colour")

scale_fill_vibrant(..., reverse = FALSE, aesthetics = "fill")

scale_edge_colour_vibrant(..., reverse = FALSE, aesthetics = "edge_colour")

scale_edge_color_vibrant(..., reverse = FALSE, aesthetics = "edge_colour")

scale_edge_fill_vibrant(..., reverse = FALSE, aesthetics = "edge_fill")

Arguments

...

Arguments passed to ggplot2::discrete_scale().

reverse

A logical scalar. Should the resulting vector of colors be reversed?

aesthetics

A character string or vector of character strings listing the name(s) of the aesthetic(s) that this scale works with.

Value

A discrete scale.

Qualitative Color Schemes

The qualitative color schemes are used as given (no interpolation): colors are picked up to the maximum number of supported values.

Palette Max.
bright 7
highcontrast 3
vibrant 7
muted 9
mediumcontrast 6
pale 6
dark 6
light 9

According to Paul Tol's technical note, the bright, highcontrast, vibrant and muted color schemes are color-blind safe. The mediumcontrast color scheme is designed for situations needing color pairs.

The light color scheme is reasonably distinct for both normal or colorblind vision and is intended to fill labeled cells.

The pale and dark schemes are not very distinct in either normal or colorblind vision and should be used as a text background or to highlight a cell in a table.

Refer to the original document for details about the recommended uses (see references)

Author(s)

N. Frerebeau

References

Tol, P. (2021). Colour Schemes. SRON. Technical Note No. SRON/EPS/TN/09-002, issue 3.2. URL: https://personal.sron.nl/~pault/data/colourschemes.pdf

See Also

Other qualitative color schemes: scale_colour_land(), scale_colour_soil(), scale_colour_stratigraphy(), scale_okabeito_discrete, scale_tol_bright, scale_tol_dark, scale_tol_discreterainbow, scale_tol_highcontrast, scale_tol_light, scale_tol_mediumcontrast, scale_tol_muted, scale_tol_pale

Other Paul Tol's color schemes: scale_tol_BuRd, scale_tol_PRGn, scale_tol_YlOrBr, scale_tol_bright, scale_tol_dark, scale_tol_discreterainbow, scale_tol_highcontrast, scale_tol_incandescent, scale_tol_iridescent, scale_tol_light, scale_tol_mediumcontrast, scale_tol_muted, scale_tol_nightfall, scale_tol_pale, scale_tol_smoothrainbow, scale_tol_sunset

Examples

data(mpg, package = "ggplot2")

ggplot2::ggplot(mpg, ggplot2::aes(displ, hwy, colour = class)) +
  ggplot2::geom_point() +
  scale_colour_bright()

ggplot2::ggplot(mpg, ggplot2::aes(displ, hwy, colour = class)) +
  ggplot2::geom_point() +
  scale_colour_vibrant()

data(diamonds, package = "ggplot2")

ggplot2::ggplot(diamonds, ggplot2::aes(clarity, fill = cut)) +
  ggplot2::geom_bar() +
  scale_fill_muted()

Scientific Color Schemes

Description

Scientific Color Schemes

Details

The following (qualitative) color schemes are available:

stratigraphy

International Chronostratigraphic Chart (175 colors).

land

AVHRR Global Land Cover Classification (14 colors).

soil

FAO Reference Soil Groups (24 colors).

References

Jones, A., Montanarella, L. & Jones, R. (Ed.) (2005). Soil atlas of Europe. Luxembourg: European Commission, Office for Official Publications of the European Communities. 128 pp. ISBN: 92-894-8120-X.

Tol, P. (2021). Colour Schemes. SRON. Technical Note No. SRON/EPS/TN/09-002, issue 3.2. URL: https://personal.sron.nl/~pault/data/colourschemes.pdf

Commission for the Geological Map of the World

Paul Tol's Color Schemes

Description

Paul Tol's Color Schemes

Details

The maximum number of supported colors is only relevant for the qualitative color schemes (divergent and sequential schemes are linearly interpolated).

Qualitative data

bright (7), ⁠high contrast⁠ (3), vibrant (7), muted (9), ⁠medium contrast⁠ (6), pale (6), dark (6), light (9).

Diverging data

sunset (11), nightfall (17), BuRd (9), PRGn (9).

Sequential data

YlOrBr (9), iridescent (23), incandescent (11), ⁠discrete rainbow⁠ (23), ⁠smooth rainbow⁠ (34).

Qualitative Color Schemes

The qualitative color schemes are used as given (no interpolation): colors are picked up to the maximum number of supported values.

Palette Max.
bright 7
highcontrast 3
vibrant 7
muted 9
mediumcontrast 6
pale 6
dark 6
light 9

According to Paul Tol's technical note, the bright, highcontrast, vibrant and muted color schemes are color-blind safe. The mediumcontrast color scheme is designed for situations needing color pairs.

The light color scheme is reasonably distinct for both normal or colorblind vision and is intended to fill labeled cells.

The pale and dark schemes are not very distinct in either normal or colorblind vision and should be used as a text background or to highlight a cell in a table.

Refer to the original document for details about the recommended uses (see references)

Diverging Color Schemes

If more colors than defined are needed from a given scheme, the color coordinates are linearly interpolated to provide a continuous version of the scheme.

Palette Max. NA value
sunset 11 #FFFFFF
nightfall 17 #FFFFFF
BuRd 9 #FFEE99
PRGn 9 #FFEE99

Sequential Color Schemes

If more colors than defined are needed from a given scheme, the color coordinates are linearly interpolated to provide a continuous version of the scheme.

Palette Max. NA value
YlOrBr 9 #888888
iridescent 23 #999999
discreterainbow 23 #777777
smoothrainbow 34 #666666

Rainbow Color Scheme

As a general rule, ordered data should not be represented using a rainbow scheme. There are three main arguments against such use (Tol 2018):

If such use cannot be avoided, Paul Tol's technical note provides two color schemes that are reasonably clear in color-blind vision. To remain color-blind safe, these two schemes must comply with the following conditions:

discreterainbow

This scheme must not be interpolated.

smoothrainbow

This scheme does not have to be used over the full range.

References

Tol, P. (2021). Colour Schemes. SRON. Technical Note No. SRON/EPS/TN/09-002, issue 3.2. URL: https://personal.sron.nl/~pault/data/colourschemes.pdf

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