Create a new scenario based on trained model parameters

This function creates a new BiodiversityScenario object that contains the projections of a model.

Usage

scenario(fit, limits = NULL, copy_model = FALSE)

# S4 method for ANY,ANY,logical
scenario(fit,limits,copy_model)

fit: A BiodiversityDistribution object containing a trained model.
limits: A SpatRaster or sf object that limits the projection surface when intersected with the prediction data (Default: NULL). This can for instance be set as an expert-delineated constrain to limit spatial projections.
copy_model: A logical of whether the model object is to be copied to the scenario object. Note that setting this option to TRUE can increase the required amount of memory (Default: FALSE).

if (FALSE) {
  scenario(fit, limits = island_area)
}