performs SFS to identify combination of input variables maximizing a criterion

biodivMapR_SFS(
  input_raster,
  obs_vect,
  obs2optimize,
  obs_criterion = "shannon",
  corrMethod = "spearman",
  input_mask = NULL,
  Hill_order = 1,
  nb_clusters = 50,
  min_sun = 0.25,
  nb_pix = 1e+05,
  nb_iter = 10,
  pcelim = 0.02,
  verbose = TRUE,
  nbWorkers = 1,
  nbCPU = 1
)

Arguments

input_raster: SpatRaster or list of SpatRaster
obs_vect: SpatVector or SpatVectorCollection
obs2optimize: numeric .list of ground obs diversity metrics corresponding to obs_vect. Expected values: richness, shannon, simpson, hill, BC
obs_criterion: character. richness, shannon, simpson or BC
corrMethod: character. select between method available for cor.test
input_mask: SpatRaster corresponding to mask
Hill_order: numeric.
nb_clusters: numeric.
min_sun: numeric.
nb_pix: numeric.
nb_iter: numeric.
pcelim: numeric.
verbose: boolean.
nbWorkers: numeric.
nbCPU: numeric.

Value

list including performances (correlation) of SFS with additional features and assessed diversity metrics corresponding to each step