computes diversity metrics from validation plots

get_diversity_from_plots(
  input_rast,
  validation_vect,
  Hill_order = 1,
  Kmeans_info,
  Beta_info = NULL,
  input_mask = NULL,
  Functional = NULL,
  SelectBands = NULL,
  rast_sample = NULL,
  AttributeTable = NULL,
  alphametrics = c("richness", "shannon", "simpson", "hill"),
  MinSun = 0.25,
  pcelim = 0.02,
  nbCPU = 1,
  getBeta = T,
  verbose = F
)

Arguments

input_rast: SpatRaster
validation_vect: SpatVector
Hill_order: numeric. Hill order
Kmeans_info: list. kmeans description obtained from function get_kmeans
Beta_info: list. BC dissimilarity & associated beta metrics from training set
input_mask: SpatRaster
Functional: character.
SelectBands: numeric. bands selected from input_rast
rast_sample: dataframe.
AttributeTable: dataframe.
alphametrics: character.
MinSun: numeric. minimum amount of sunlit pixels in the plots
pcelim: numeric. minimum proportion of pixels to consider spectral species
nbCPU: numeric. Number of CPUs available
getBeta: boolean. set true if computation of beta required
verbose: boolean. set true for messages

Value

SpatVector including diversity metrics and BC dissimilarity for the plots