abronia |
Occurrence records of Abronia graminea |
bg_by_date |
Function to obtain environmental background organized by date |
cells2samp |
Helper function to randomly select cell IDs for generating environmental background data. |
clean_dup |
Function to thin longitude and latitude data |
clean_dup_by_date |
Function to thin occurrence data Cleans up duplicated longitude and latitude data by year using a specified distance threshold. The distance can be specified as a geographic distance or, if a raster_mask is provided, as a pixel distance. |
colors |
Colors for plotting |
correlation_finder |
Function to find strong correlations within environmental predictors |
cov_center |
Function to compute the covariance matrix of an ellipsoid niche model. |
ellipsoid_omr |
Compute omission rate and statistical metrics for ellipsoid models. |
ellipsoid_projection |
ellipsoid_projection: function to project an ellipsoid model |
ellipsoid_selection |
ellipsoid_selection: Performs models selection for ellipsoid models |
ex_by_date |
Extract environmental data by date |
inEllipsoid |
inEllipsoid: Determine if a point is inside or outside an ellipsoid |
metaras |
Helper function to obtain layer name from a raster layer |
plot_ellipsoid |
Function to plot ellipsoid models in E-space |
predict |
Predict the potential distribution of species based on environmental conditions |
predict-method |
Predict the potential distribution of species based on environmental conditions |
pROC |
Partial ROC calculation for Niche Models |
sp.temporal.bg-class |
S3 classes to organize data and results of 'tenm' objects |
sp.temporal.env-class |
S3 classes to organize data and results of 'tenm' objects |
sp.temporal.modeling-class |
S3 classes to organize data and results of 'tenm' objects |
sp.temporal.selection-class |
S3 classes to organize data and results of 'tenm' objects |
sp_temporal_data |
Function to create a Species Temporal Data object (STD object). |
tdf2swd |
Temporal data.frame to Samples With Data format |
tenm_selection |
Function to find the best n-dimensional ellipsoid model |