The SpatialProba function calculates the simulated probability of occurrence of a virtual species based on an additive model that incorporates environmental variables. The model considers both linear and quadratic relationships between the environmental factors and the species' probability of presence.
This function uses environmental data provided as a SpatRaster object (e.g., temperature, precipitation) to compute the probability of species presence across a defined area of interest.
The resulting probabilities are mapped to a range between 0 and 1, representing the likelihood of species occurrence in the given locations.
Arguments
- coefs
a named vector of regression parameters. Names must match those of the environmental layers (except for intercept, and quadratic terms). Parameters for quadratic terms must have the prefix 'quadr_' (e.g.,
quadr_bio1).- env.rast
a SpatRaster object with environmental layers to generate the spatial layer of probabilities.
- quadr_term
a named vector with names of coefs for which a quadratic term is specified (without prefix 'quadr_').
- marginalPlots
logical, if TRUE, returns marginal plots.