Type: | Package |
Title: | Definition of Geographic Dimensions |
Version: | 2.0.0 |
Description: | The geographic dimension plays a fundamental role in multidimensional systems. To define a geographic dimension in a star schema, we need a table with attributes corresponding to the levels of the dimension. Additionally, we will also need one or more geographic layers to represent the data using this dimension. The goal of this package is to support the definition of geographic dimensions from layers of geographic information related to each other. It makes it easy to define relationships between layers and obtain the necessary data from them. |
License: | MIT + file LICENSE |
URL: | https://josesamos.github.io/geodimension/, https://github.com/josesamos/geodimension |
BugReports: | https://github.com/josesamos/geodimension/issues |
Depends: | R (≥ 2.10) |
Imports: | dplyr, methods, sf, snakecase, tibble, tidyselect |
Suggests: | knitr, pander, rmarkdown, testthat |
VignetteBuilder: | knitr |
Encoding: | UTF-8 |
Language: | en-GB |
LazyData: | true |
LazyDataCompression: | xz |
RoxygenNote: | 7.2.3 |
NeedsCompilation: | no |
Packaged: | 2024-01-08 16:43:50 UTC; joses |
Author: | Jose Samos |
Maintainer: | Jose Samos <jsamos@ugr.es> |
Repository: | CRAN |
Date/Publication: | 2024-01-09 00:00:02 UTC |
Add geometry to a level
Description
A level can have several geometries (point or polygon). This function adds the geometry of the layer to the level.
Usage
add_geometry(gl, layer, layer_key, level_key)
## S3 method for class 'geolevel'
add_geometry(gl, layer = NULL, layer_key = NULL, level_key = NULL)
Arguments
gl |
A |
layer |
A |
layer_key |
A vector of string. |
level_key |
A vector of string. |
Details
The association of the geometry to the existing instances is done through join using the level and layer keys.
If none is indicated, by default the key defined in the level is considered.
Value
A geolevel
.
See Also
Other geolevel definition functions:
check_key()
,
complete_point_geometry()
,
coordinates_to_geometry()
,
geolevel()
,
get_empty_geometry_instances()
,
get_geometry()
Examples
layer_us_state <-
dplyr::inner_join(
get_level_data_geo(gd_us, "state"),
get_level_layer(gd_us, "state"),
by = c("statefp", "division", "region", "stusps", "name")
) |>
sf::st_as_sf()
us_state_point <-
coordinates_to_geometry(layer_us_state,
lon_lat = c("intptlon", "intptlat"))
state <-
geolevel(name = "state",
layer = layer_us_state,
key = "statefp",
snake_case = TRUE) |>
add_geometry(layer = us_state_point)
Add a level to a dimension
Description
Once a level is part of the dimension, it can then be related to other levels of the dimension.
Usage
add_level(gd, level)
## S3 method for class 'geodimension'
add_level(gd, level = NULL)
Arguments
gd |
A |
level |
A |
Value
A geodimension
.
See Also
geolevel
, relate_levels
, get_level_layer
Other geodimension definition functions:
geodimension()
,
set_level_data()
,
transform_crs()
Examples
layer_us_place <- gd_us |>
get_level_layer("place")
layer_us_county <-
dplyr::inner_join(
get_level_data_geo(gd_us, "county"),
get_level_layer(gd_us, "county"),
by = c("geoid", "statefp", "name", "type")
) |>
sf::st_as_sf()
place <-
geolevel(name = "place",
layer = layer_us_place,
attributes = c("statefp", "county_geoid", "name", "type"),
key = "geoid")
county <-
geolevel(
name = "county",
layer = layer_us_county,
attributes = c("statefp", "name", "type"),
key = "geoid"
) |>
add_geometry(coordinates_to_geometry(layer_us_county,
lon_lat = c("intptlon", "intptlat")))
gd_us <-
geodimension(name = "gd_us",
level = place) |>
add_level(level = county)
Add prefix
Description
Add prefix
Usage
add_prefix(str, prefix)
Arguments
str |
A string. |
prefix |
A string. |
Value
A string.
All attributes are character
Description
All attributes are character
Usage
all_attributes_character(instances)
Arguments
instances |
A tibble. |
Value
A tibble.
Check key
Description
Check if the specified set of attributes can be the key of the table.
Usage
check_key(table, key = NULL)
Arguments
table |
A |
key |
A vector, attributes that compose the key. |
Details
The table can be a data table or a vector layer.
Value
A boolean.
See Also
Other geolevel definition functions:
add_geometry()
,
complete_point_geometry()
,
coordinates_to_geometry()
,
geolevel()
,
get_empty_geometry_instances()
,
get_geometry()
Examples
layer_us_county <- get_level_layer(gd_us, "county")
is_key <- check_key(layer_us_county, key = c("statefp", "name"))
Complete point geometry
Description
In case of having the polygon geometry defined, it obtains the point geometry from it.
Usage
complete_point_geometry(gl)
## S3 method for class 'geolevel'
complete_point_geometry(gl)
Arguments
gl |
A |
Details
If the point geometry was already defined, if there are instances with this geometry empty, it completes them.
Value
A geolevel
object.
See Also
Other geolevel definition functions:
add_geometry()
,
check_key()
,
coordinates_to_geometry()
,
geolevel()
,
get_empty_geometry_instances()
,
get_geometry()
Examples
layer_us_state <- get_level_layer(gd_us, "state")
state <-
geolevel(name = "state",
layer = layer_us_state,
key = "statefp",
snake_case = TRUE) |>
complete_point_geometry()
Complete relation by geography
Description
Two levels can be related by attributes or by geography (if the upper level has polygon-type geometry). Once related, if there are unrelated instances, we can try to relate those instances using this function, which considers alternative geographic relationships.
Usage
complete_relation_by_geography(
gd,
lower_level_name = NULL,
upper_level_name = NULL
)
## S3 method for class 'geodimension'
complete_relation_by_geography(
gd,
lower_level_name = NULL,
upper_level_name = NULL
)
Arguments
gd |
A |
lower_level_name |
A string, name of the lower level. |
upper_level_name |
A string, name of the upper lever. |
Details
It does not necessarily succeed trying to relate instances.
Value
A geodimension
object.
See Also
Other relationship between geolevels:
get_unrelated_instances()
,
relate_levels()
,
select_levels()
Examples
layer_us_place <- gd_us |>
get_level_layer("place")
layer_us_county <-
dplyr::inner_join(
get_level_data_geo(gd_us, "county"),
get_level_layer(gd_us, "county"),
by = c("geoid", "statefp", "name", "type")
) |>
sf::st_as_sf()
place <-
geolevel(name = "place",
layer = layer_us_place,
attributes = c("statefp", "county_geoid", "name", "type"),
key = "geoid")
county <-
geolevel(
name = "county",
layer = layer_us_county,
attributes = c("statefp", "name", "type"),
key = "geoid"
) |>
add_geometry(coordinates_to_geometry(layer_us_county,
lon_lat = c("intptlon", "intptlat")))
gd <-
geodimension(name = "gd_us",
level = place) |>
add_level(level = county)
gd <- gd |>
relate_levels(
lower_level_name = "place",
lower_level_attributes = "county_geoid",
upper_level_name = "county"
) |>
complete_relation_by_geography(
lower_level_name = "place",
upper_level_name = "county"
)
Transform coordinates to point geometry
Description
From the coordinates defined in fields such as latitude and longitude, it returns a layer of points.
Usage
coordinates_to_geometry(table, lon_lat = c("intptlon", "intptlat"), crs = 4326)
Arguments
table |
A |
lon_lat |
A vector, name of longitude and latitude attributes. |
crs |
A coordinate reference system: integer with the EPSG code, or character with proj4string. |
Details
If we start from a geographic layer, it initially transforms it into a table.
The CRS of the new layer is indicated. By default, it considers 4326 (WGS84).
Value
A sf
object.
See Also
Other geolevel definition functions:
add_geometry()
,
check_key()
,
complete_point_geometry()
,
geolevel()
,
get_empty_geometry_instances()
,
get_geometry()
Examples
layer_us_county <-
dplyr::inner_join(
get_level_data_geo(gd_us, "county"),
get_level_layer(gd_us, "county"),
by = c("geoid", "statefp", "name", "type")
) |>
sf::st_as_sf()
us_county_point <-
coordinates_to_geometry(layer_us_county,
lon_lat = c("intptlon", "intptlat"))
define relationship
Description
define relationship
Usage
define_relationship(gd, gdp, l, h)
Arguments
gd |
A |
gdp |
A |
l |
A string, name of the lower level. |
h |
A string, name of the upper lever. |
Value
A geolevel
object.
gd_es
Description
geodimension
obtained from vector layers over Spain
Usage
gd_es
Format
A geodimension
.
Details
It includes the levels nucleus, municipality, agricultural region, province, autonomous community and country.
Source
https://centrodedescargas.cnig.es/CentroDescargas/, https://www.mapa.gob.es/es/cartografia-y-sig/ide/descargas/agricultura/default.aspx
gd_us
Description
geodimension
obtained from vector layers over USA.
Usage
gd_us
Format
A geodimension
.
Details
It includes the levels place, county, state, division, region and country.
Source
geodimension
S3 class
Description
A geodimension
object is created. A geodimension
allows us to relate
levels. In addition to the name of the geodimension
, a level
has to be
given.
Usage
geodimension(name = NULL, level = NULL, snake_case = FALSE)
Arguments
name |
A string, name of the dimension. |
level |
A |
snake_case |
A boolean, transform all names to snake_case. |
Value
A geodimension
object.
See Also
geolevel
, relate_levels
, get_level_layer
Other geodimension definition functions:
add_level()
,
set_level_data()
,
transform_crs()
Examples
layer_us_place <- get_level_layer(gd_us, "place")
place <-
geolevel(name = "place",
layer = layer_us_place,
key = "geoid")
gd <-
geodimension(name = "gd_us",
level = place)
geolevel
S3 class
Description
A geolevel
object is created from a given geographic layer. The attributes
of the layer to be included in the level can be indicated; if no attribute is
indicated, all are considered. The attributes that make up the key must be
indicated.
Usage
geolevel(
name = NULL,
layer = NULL,
attributes = NULL,
key = NULL,
snake_case = FALSE
)
Arguments
name |
A string, level name. |
layer |
A |
attributes |
A string vector, selected attributes. |
key |
A string vector, attributes that compose the key. |
snake_case |
A boolean, transform all names to snake_case. |
Details
A level can have two associated geometries (point or polygon). The geometry is obtained from the layer data.
We can also define a level from a tibble
, which does not have any associated
geometry. The geometry will be obtained from the relationships between levels
that we define or from layers related to this data.
The name of the level is used later to reference it and relate it to other levels.
Value
A geolevel
object.
See Also
Other geolevel definition functions:
add_geometry()
,
check_key()
,
complete_point_geometry()
,
coordinates_to_geometry()
,
get_empty_geometry_instances()
,
get_geometry()
Examples
layer_us_state <- get_level_layer(gd_us, "state")
state <-
geolevel(name = "state",
layer = layer_us_state,
key = "statefp",
snake_case = TRUE)
Get empty geometry instances
Description
Get the instances of the data table that do not have associated geometry for the specified geometry type.
Usage
get_empty_geometry_instances(gl, geometry)
## S3 method for class 'geolevel'
get_empty_geometry_instances(gl, geometry = NULL)
Arguments
gl |
A |
geometry |
A string, type of geometry of the layer. |
Value
A tibble
.
See Also
Other geolevel definition functions:
add_geometry()
,
check_key()
,
complete_point_geometry()
,
coordinates_to_geometry()
,
geolevel()
,
get_geometry()
Examples
layer_us_state <-
dplyr::inner_join(
get_level_data_geo(gd_us, "state"),
get_level_layer(gd_us, "state"),
by = c("statefp", "division", "region", "stusps", "name")
) |>
sf::st_as_sf()
us_state_point <-
coordinates_to_geometry(layer_us_state,
lon_lat = c("intptlon", "intptlat"))
state <-
geolevel(name = "state",
layer = layer_us_state,
key = "statefp",
snake_case = TRUE) |>
add_geometry(layer = us_state_point)
empty_geometry_instances <- state |>
get_empty_geometry_instances(geometry = "point")
Get geometry
Description
Get the geometry of a layer, as it is interpreted to define a geolevel
object.
Usage
get_geometry(layer)
Arguments
layer |
A |
Details
It will only be valid if one of the three geometries is interpreted: point, line or polygon.
Value
A string.
See Also
Other geolevel definition functions:
add_geometry()
,
check_key()
,
complete_point_geometry()
,
coordinates_to_geometry()
,
geolevel()
,
get_empty_geometry_instances()
Examples
layer_us_county <- get_level_layer(gd_us, "county")
geometry <- get_geometry(layer_us_county)
Get higher level names
Description
Get the names of levels included in the geodimension
that are related to the
given level and are upper levels. We can get only the direct levels or the
levels reached by passing through other levels.
Usage
get_higher_level_names(gd, level_name, indirect_levels)
## S3 method for class 'geodimension'
get_higher_level_names(gd, level_name = NULL, indirect_levels = FALSE)
Arguments
gd |
A |
level_name |
A string. |
indirect_levels |
A boolean. |
Value
A vector of names.
See Also
Other information gathering functions:
get_level_data_geo()
,
get_level_data()
,
get_level_geometries()
,
get_level_layer()
,
get_level_names()
Examples
ln_1 <- gd_us |>
get_higher_level_names(level_name = "place")
ln_2 <- gd_us |>
get_higher_level_names(level_name = "place", indirect_levels = TRUE)
Get level data
Description
Get the data table of a given level.
Usage
get_level_data(gd, level_name, inherited, add_prefix)
## S3 method for class 'geodimension'
get_level_data(gd, level_name = NULL, inherited = FALSE, add_prefix = TRUE)
Arguments
gd |
A |
level_name |
A string. |
inherited |
A boolean. |
add_prefix |
A boolean. |
Details
It allows selecting whether we want only the data defined locally in the level or also those that it inherits from other higher levels with which it is related.
In case of inheriting attributes from other levels, in the table, these can have as a prefix the name of the level.
Value
A tibble
object.
See Also
Other information gathering functions:
get_higher_level_names()
,
get_level_data_geo()
,
get_level_geometries()
,
get_level_layer()
,
get_level_names()
Examples
ld <- gd_us |>
get_level_data(level_name = "county",
inherited = TRUE)
Get level data with latitude and longitude
Description
Get the data table of a given level with latitude and longitude.
Usage
get_level_data_geo(gd, level_name, inherited, add_prefix, lon_lat, crs)
## S3 method for class 'geodimension'
get_level_data_geo(
gd,
level_name = NULL,
inherited = FALSE,
add_prefix = TRUE,
lon_lat = c("intptlon", "intptlat"),
crs = 4326
)
Arguments
gd |
A |
level_name |
A string. |
inherited |
A boolean. |
add_prefix |
A boolean. |
lon_lat |
A vector, name of longitude and latitude attributes. |
crs |
A coordinate reference system: integer with the EPSG code, or character with proj4string. |
Details
It allows selecting whether we want only the data defined locally in the level or also those that it inherits from other higher levels with which it is related.
In case of inheriting attributes from other levels, in the table, these can have as a prefix the name of the level.
Additionally, we indicate the names of the fields where longitude and latitude will be stored, as well as the crs that is used, if they are different from the default values.
Value
A tibble
object.
See Also
Other information gathering functions:
get_higher_level_names()
,
get_level_data()
,
get_level_geometries()
,
get_level_layer()
,
get_level_names()
Examples
ld <- gd_us |>
get_level_data_geo(level_name = "county",
inherited = TRUE)
Get level geometries
Description
Gets the geometry types defined for a given level.
Usage
get_level_geometries(gd, level_name)
## S3 method for class 'geodimension'
get_level_geometries(gd, level_name = NULL)
Arguments
gd |
A |
level_name |
A string. |
Value
A vector of names.
See Also
Other information gathering functions:
get_higher_level_names()
,
get_level_data_geo()
,
get_level_data()
,
get_level_layer()
,
get_level_names()
Examples
lg <- gd_us |>
get_level_geometries(level_name = "state")
get level keys
Description
Starting from a level, the keys of all the levels above it.
Usage
get_level_keys(gd, level_name = NULL)
Arguments
gd |
A |
level_name |
A string, name of the level. |
Value
A tibble
object.
Get level layer
Description
Get a geographic layer associated with a level. We can select the geometry and, using boolean parameters, which attributes are included in the layer's table: only the attributes that make up the key and, if applied to a geodimension, inherited attributes to which the prefix of the level where they are defined can be added.
Usage
get_level_layer(gd, level_name, geometry, only_key, inherited, add_prefix)
## S3 method for class 'geodimension'
get_level_layer(
gd,
level_name = NULL,
geometry = NULL,
only_key = FALSE,
inherited = FALSE,
add_prefix = TRUE
)
## S3 method for class 'geolevel'
get_level_layer(
gd,
level_name = NULL,
geometry = NULL,
only_key = FALSE,
inherited = FALSE,
add_prefix = TRUE
)
Arguments
gd |
A |
level_name |
A string. |
geometry |
A string. |
only_key |
A boolean. |
inherited |
A boolean. |
add_prefix |
A boolean. |
Value
A sf
object.
See Also
Other information gathering functions:
get_higher_level_names()
,
get_level_data_geo()
,
get_level_data()
,
get_level_geometries()
,
get_level_names()
Examples
layer_us_state <- get_level_layer(gd_us, "state")
state <-
geolevel(name = "state",
layer = layer_us_state,
key = "statefp")
state_ll <- state |>
get_level_layer("polygon")
county_ll <- gd_us |>
get_level_layer(level_name = "county",
geometry = "polygon",
inherited = TRUE)
Get level names
Description
Get the names of levels included in the geodimension
.
Usage
get_level_names(gd)
## S3 method for class 'geodimension'
get_level_names(gd)
Arguments
gd |
A |
Value
A vector of names.
See Also
Other information gathering functions:
get_higher_level_names()
,
get_level_data_geo()
,
get_level_data()
,
get_level_geometries()
,
get_level_layer()
Examples
ln <- gd_us |>
get_level_names()
Get unrelated instances
Description
Given two previously related levels of a dimension, it obtains the instances of the lower level that have not been related to the upper level.
Usage
get_unrelated_instances(gd, lower_level_name, upper_level_name)
## S3 method for class 'geodimension'
get_unrelated_instances(gd, lower_level_name = NULL, upper_level_name = NULL)
Arguments
gd |
A |
lower_level_name |
A string, name of the lower level. |
upper_level_name |
A string, name of the upper lever. |
Value
A tibble
, unrelated lower level instances.
See Also
Other relationship between geolevels:
complete_relation_by_geography()
,
relate_levels()
,
select_levels()
Examples
layer_us_place <- gd_us |>
get_level_layer("place")
layer_us_county <-
dplyr::inner_join(
get_level_data_geo(gd_us, "county"),
get_level_layer(gd_us, "county"),
by = c("geoid", "statefp", "name", "type")
) |>
sf::st_as_sf()
place <-
geolevel(name = "place",
layer = layer_us_place,
attributes = c("statefp", "county_geoid", "name", "type"),
key = "geoid")
county <-
geolevel(
name = "county",
layer = layer_us_county,
attributes = c("statefp", "name", "type"),
key = "geoid"
) |>
add_geometry(coordinates_to_geometry(layer_us_county,
lon_lat = c("intptlon", "intptlat")))
gd <-
geodimension(name = "gd_us",
level = place) |>
add_level(level = county)
gd <- gd |>
relate_levels(
lower_level_name = "place",
upper_level_name = "county",
by_geography = TRUE
)
ui <- gd |>
get_unrelated_instances(
lower_level_name = "place",
upper_level_name = "county"
)
To snake case
Description
To snake case
Usage
my_to_snake_case(str)
Arguments
str |
A string. |
Value
A vector of strings.
Relate levels in a dimension
Description
Definition of a direct relationship between two levels of the dimension: the lower level composes the higher level.
Usage
relate_levels(
gd,
lower_level_name,
lower_level_attributes,
upper_level_name,
upper_level_key,
by_geography
)
## S3 method for class 'geodimension'
relate_levels(
gd,
lower_level_name = NULL,
lower_level_attributes = NULL,
upper_level_name = NULL,
upper_level_key = NULL,
by_geography = FALSE
)
Arguments
gd |
A |
lower_level_name |
A string, name of the lower level. |
lower_level_attributes |
A vector of attribute names. |
upper_level_name |
A string, name of the upper lever. |
upper_level_key |
A vector of attribute names. |
by_geography |
A boolean. |
Details
The relationship may exist by having attributes with common values or by their geographic attributes. In the latter case, the geometry of the upper level must be of the polygon type.
If no top-level attributes are indicated, the attributes that make up the key are considered by default, only the corresponding attributes of the lower level have to be indicated.
To use the geometric relationship, it must be explicitly indicated by the Boolean parameter. In this case, the attributes of the lower level must not exist in the table, they will be added with the values of the key of the upper level, according to the established relationship. If lower level attribute names are not provided, they will be generated from the upper level key names, adding a prefix.
Value
A geodimension
.
See Also
Other relationship between geolevels:
complete_relation_by_geography()
,
get_unrelated_instances()
,
select_levels()
Examples
layer_us_place <- gd_us |>
get_level_layer("place")
layer_us_county <-
dplyr::inner_join(
get_level_data_geo(gd_us, "county"),
get_level_layer(gd_us, "county"),
by = c("geoid", "statefp", "name", "type")
) |>
sf::st_as_sf()
place <-
geolevel(name = "place",
layer = layer_us_place,
attributes = c("statefp", "county_geoid", "name", "type"),
key = "geoid")
county <-
geolevel(
name = "county",
layer = layer_us_county,
attributes = c("statefp", "name", "type"),
key = "geoid"
) |>
add_geometry(coordinates_to_geometry(layer_us_county,
lon_lat = c("intptlon", "intptlat")))
gd <-
geodimension(name = "gd_us",
level = place) |>
add_level(level = county)
gd <- gd |>
relate_levels(
lower_level_name = "place",
lower_level_attributes = "county_geoid",
upper_level_name = "county"
)
gd_2 <- gd |>
relate_levels(
lower_level_name = "place",
upper_level_name = "county",
by_geography = TRUE
)
Select levels
Description
Select a subset of the levels of the dimension so that the rest of the levels no longer belong to it.
Usage
select_levels(gd, level_names = NULL)
## S3 method for class 'geodimension'
select_levels(gd, level_names = NULL)
Arguments
gd |
A |
level_names |
A vector of names. |
Value
A geodimension
object.
See Also
Other relationship between geolevels:
complete_relation_by_geography()
,
get_unrelated_instances()
,
relate_levels()
Examples
gd_us_2 <- gd_us |>
select_levels(level_names = c("state", "county", "place", "region"))
Set level data
Description
Set the data table of a given level.
Usage
set_level_data(gd, level_name, data)
## S3 method for class 'geodimension'
set_level_data(gd, level_name = NULL, data = NULL)
Arguments
gd |
A |
level_name |
A string. |
data |
A |
Details
We can get the table, filter or transform the data and redefine the level table.
It is checked that the attributes that have been used in the relationships remain in the table.
Value
A geodimension
object.
See Also
Other geodimension definition functions:
add_level()
,
geodimension()
,
transform_crs()
Examples
ld <- gd_us |>
get_level_data(level_name = "county",
inherited = TRUE)
gd_us <- gd_us |>
set_level_data(level_name = "county",
data = ld)
snake case geolevel
Description
snake case geolevel
Usage
snake_case_geolevel(gl)
Arguments
gl |
A |
Value
A geolevel
object.
sort by number of instances
Description
sort by number of instances
Usage
sort_by_number_of_instances(gd, level_names, decreasing = FALSE)
Arguments
gd |
A |
level_names |
A string vector. |
decreasing |
A boolean, decreasing order. |
Value
A string vector.
Transform CRS
Description
Transform the CRS of all the layers included in the dimension to the one indicated.
Usage
transform_crs(gd, crs = NULL)
## S3 method for class 'geodimension'
transform_crs(gd, crs = NULL)
Arguments
gd |
A |
crs |
A coordinate reference system: integer with the EPSG code, or character with proj4string. |
Value
A geodimension
.
See Also
geolevel
, relate_levels
, get_level_layer
Other geodimension definition functions:
add_level()
,
geodimension()
,
set_level_data()
Examples
layer_us_place <- gd_us |>
get_level_layer("place")
layer_us_county <-
dplyr::inner_join(
get_level_data_geo(gd_us, "county"),
get_level_layer(gd_us, "county"),
by = c("geoid", "statefp", "name", "type")
) |>
sf::st_as_sf()
place <-
geolevel(name = "place",
layer = layer_us_place,
attributes = c("statefp", "county_geoid", "name", "type"),
key = "geoid")
county <-
geolevel(
name = "county",
layer = layer_us_county,
attributes = c("statefp", "name", "type"),
key = "geoid"
) |>
add_geometry(coordinates_to_geometry(layer_us_county,
lon_lat = c("intptlon", "intptlat")))
gd_us <-
geodimension(name = "gd_us",
level = place) |>
add_level(level = county) |>
transform_crs(crs = 3857)
us_division
Description
US Divisions and Regions (code and name).
Usage
us_division
Format
A tibble
object.
Validate names
Description
Validate names
Usage
validate_names(defined_names, names, concept = "name", repeated = FALSE)
Arguments
defined_names |
A vector of strings, defined attribute names. |
names |
A vector of strings, new attribute names. |
concept |
A string, treated concept. |
repeated |
A boolean, repeated names allowed. |
Value
A vector of strings, names.