| aerosol_australia | Data from of NASA Earth Observations at https://neo.gsfc.nasa.gov |
| aerosol_world | Data from of NASA Earth Observations at https://neo.gsfc.nasa.gov |
| autoplot.cancor | Computes transformed variables from Canonical Correlation Analysis using a dataframe or a stars object |
| autoplot.cancoreof | Performs CCA using Empirical Orthogonal Functions (EOFs) from a lagged dataset |
| autoplot.emporthfun | Computes empirical orthogonal functions using a dataframe or a stars object. |
| autoplot.hovmoller | Computes the data structure for the Hovmoller plots |
| autoplot.semivariogramobj | Computes the semi-variogram using a dataframe or a stars object. |
| autoplot.spatialcov | Computes empirical spatial covariance using a dataframe or a stars object |
| autoplot.spatialmeans | Computes spatial empirical means using a dataframe or a stars object |
| autoplot.temporalmeans | Computes temporal empirical means using a dataframe or a stars object. |
| cancor_eof | Performs CCA using Empirical Orthogonal Functions (EOFs) from a lagged dataset |
| cancor_eof.data.frame | Performs CCA using Empirical Orthogonal Functions (EOFs) from a lagged dataset |
| cancor_eof.stars | Performs CCA using Empirical Orthogonal Functions (EOFs) from a lagged dataset |
| canonical_correlation | Computes transformed variables from Canonical Correlation Analysis using a dataframe or a stars object |
| canonical_correlation.data.frame | Computes transformed variables from Canonical Correlation Analysis using a dataframe or a stars object |
| canonical_correlation.stars | Computes transformed variables from Canonical Correlation Analysis using a dataframe or a stars object |
| emp_orth_fun | Computes empirical orthogonal functions using a dataframe or a stars object. |
| emp_orth_fun.data.frame | Computes empirical orthogonal functions using a dataframe or a stars object. |
| emp_orth_fun.stars | Computes empirical orthogonal functions using a dataframe or a stars object. |
| emp_spatial_cov | Computes empirical spatial covariance using a dataframe or a stars object |
| emp_spatial_cov.data.frame | Computes empirical spatial covariance using a dataframe or a stars object |
| emp_spatial_cov.stars | Computes empirical spatial covariance using a dataframe or a stars object |
| hovmoller | Computes the data structure for the Hovmoller plots |
| hovmoller.data.frame | Computes the data structure for the Hovmoller plots |
| hovmoller.stars | Computes the data structure for the Hovmoller plots |
| locs | The locations used in the NOAA dataset. |
| NOAA_df_1990 | National oceanic and atmospheric administration (NOAA) data from 1990 to 1993 |
| ridgeline | Ridgeline plots grouped by an attribute using a dataframe as an input. |
| ridgeline.data.frame | Ridgeline plots grouped by an attribute using a dataframe as an input. |
| ridgeline.stars | Ridgeline plots grouped by an attribute using a dataframe as an input. |
| semivariogram | Computes the semi-variogram using a dataframe or a stars object. |
| semivariogram.data.frame | Computes the semi-variogram using a dataframe or a stars object. |
| semivariogram.stars | Computes the semi-variogram using a dataframe or a stars object. |
| spatial_means | Computes spatial empirical means using a dataframe or a stars object |
| spatial_means.data.frame | Computes spatial empirical means using a dataframe or a stars object |
| spatial_means.stars | Computes spatial empirical means using a dataframe or a stars object |
| spatial_snapshots | Plots spatial snapshots of data through time using a dataframe or a stars object. |
| spatial_snapshots.data.frame | Plots spatial snapshots of data through time using a dataframe or a stars object. |
| spatial_snapshots.stars | Plots spatial snapshots of data through time using a dataframe or a stars object. |
| SSTdatashort | The data from of the Sea Surface Temperature (SST) dataset. A subset of the original dataset is used. |
| SSTlandmaskshort | The land mask for the Sea Surface Temperature (SST) dataset. A subset of the original dataset is used. |
| SSTlonlatshort | The locations of the Sea Surface Temperatures (SST) dataset. A subset of the original dataset is used. |
| temporal_means | Computes temporal empirical means using a dataframe or a stars object. |
| temporal_means.data.frame | Computes temporal empirical means using a dataframe or a stars object. |
| temporal_means.stars | Computes temporal empirical means using a dataframe or a stars object. |
| temporal_snapshots | Plots temporal snapshots of data for specific spatial locations using a dataframe or a stars object. |
| temporal_snapshots.data.frame | Plots temporal snapshots of data for specific spatial locations using a dataframe or a stars object. |
| temporal_snapshots.stars | Plots temporal snapshots of data for specific spatial locations using a dataframe or a stars object. |
| Times | The time period in which the NOAA dataset was recorded. This spans from January 1990 to December 1993. |
| Tmax | The maximum temperature values used in the NOAA dataset in a wide dataframe format. |