Construct species distribution maps models

Constructs mean, standard deviation, and quantile (0.025, 0.5 and 0.975) maps for models calculated using uniSpace and ppSpace

Usage

map(
  model,
  dmesh,
  dims,
  region = NULL,
  mask = FALSE,
  sample = FALSE,
  nsamples = 100
)

model: An object of class ppSpace or of class uniSpace.
dmesh: The dmesh list
dims: A vector of length 2 defining the number of pixels to use as rows and columns to define the map. Currently this argument is ignored and the output raster is taken from the predictor raster in the dmesh object.
region: A spatial polygon to isolate the region of interest. If none is given, a map is drawn for the entire region covered by the mesh.
mask: Logical. Whether to mask the output raster with the region. Default is FALSE.
sample: Logical. Whether to sample from the posterior distribution of each cell using INLA's inla.posterior.sample. Returns a raster stack of each sample along with other types specified. Default to FALSE. Currently ignored.
nsamples: Integer. Number of samples to draw from the posterior. Ignored if sample = FALSE.

A terra raster with model predictions and uncertainty layers

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