get_diversity_from_plots: computes diversity metrics from validation plots

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

computes diversity metrics from validation plots

Description

computes diversity metrics from validation plots

Usage

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

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