Create Multilayer raster for predictions and uncertainty analysis

Map_predict(
  object,
  saveWD,
  mask = NULL,
  Num = NULL,
  model = NULL,
  modeltype = NULL,
  powerXI = NULL,
  zip.file = TRUE,
  cl = NULL
)

Arguments

object	Multi-layer Raster with at least covariates of the model selected
saveWD	directory where outputs of the cross-validation procedure have been saved or zip.file of this directory. All necessary information have been saved in this directory to be able to compile results. This is the only output of findBestModel in the global R environment.
mask	Optional Raster object to be used as mask for output raster: NA values of the mask raster induce NA values in the predictions.
Num	numeric The 'Num' value of the model retained for further analysis like those saved in AllModels_crossV_ordered. Not useful if model and Family are set. Default to the first model in AllModels_crossV_ordered.
model	character string A user-defined model specification. This requires to set the Family parameter. This overrides effects of 'Num', however, if the model exists with the exact same expression in the list of model fitted, 'Num' will be re-attributed.
modeltype	The type of the model as chosen among modeltypes available (see `modelselect_opt`)
powerXI	XI parameter for a tweedie model.
zip.file	TRUE (default) to save all outputs in a zipfile with saveWD, FALSE for no zipfile output, or path to a new zip file
cl	a cluster as made with `makeCluster`. If cl is empty, nbclust in `modelselect_opt` will be used to create a cluster.