apply biodivMapR on a test set for different numbers of clusters

biodivMapR_opt_clusters(
  input_raster_path,
  input_vector_path,
  obs2optimize,
  selected_bands,
  obs_criterion = "shannon",
  input_mask_path = NULL,
  output_dir = "./",
  nb_clusters = 50,
  min_sun = 0.25,
  nb_iter = 10,
  pcelim = 0.02,
  nb_repetitions = 50,
  nb_samples_alpha = 1e+05,
  nb_samples_beta = 1000,
  Hill_order = 1,
  algorithm = "Hartigan-Wong",
  nbCPU = 1,
  overwrite = TRUE
)

Arguments

input_raster_path: SpatRaster or list of SpatRaster
input_vector_path: SpatVector or SpatVectorCollection
obs2optimize: numeric .list of ground obs diversity metrics corresponding to input_vector. Expected values: richness, shannon, simpson, bray
selected_bands: numeric. bnds to select from input_raster
obs_criterion: character. richness, shannon, simpson or bray
input_mask_path: SpatRaster corresponding to mask
output_dir: character. output directory
nb_clusters: numeric.
min_sun: numeric.
nb_iter: numeric.
pcelim: numeric.
nb_repetitions: numeric.
nb_samples_alpha: numeric.
nb_samples_beta: numeric.
Hill_order: numeric.
algorithm: character.
nbCPU: numeric.
overwrite: boolean

Value

list including performances (pearson and spearman correlation) with nb_clusters