biodivMapR_SFS: performs SFS to identify combination of input variables...

In jbferet/biodivMapR: biodivMapR: an R package for a- and ß-diversity mapping using remotely-sensed images

performs SFS to identify combination of input variables maximizing a criterion

Description

performs SFS to identify combination of input variables maximizing a criterion

Usage

biodivMapR_SFS(
  input_raster,
  obs_vect,
  obs2optimize,
  obs_criterion = "shannon",
  corrMethod = "spearman",
  input_mask = NULL,
  Hill_order = 1,
  nbclusters = 50,
  MinSun = 0.25,
  nbPix = 1e+05,
  nbIter = 20,
  pcelim = 0.02,
  verbose = T,
  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.
nbclusters	numeric.
MinSun	numeric.
nbPix	numeric.
nbIter	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

jbferet/biodivMapR documentation built on April 12, 2025, 1:32 p.m.