computes diversity metrics from validation plots

get_diversity_from_plots_cluster(
  Kmeans_info,
  rast_sample,
  AttributeTable,
  Hill_order = 1,
  Beta_info = NULL,
  selected_bands = NULL,
  alpha_metrics = c("richness", "shannon", "simpson", "hill"),
  beta_metrics = c("bray"),
  pcelim = 0.02
)

Arguments

Kmeans_info: list. kmeans description obtained from function get_kmeans
rast_sample: list. information extracted from raster
AttributeTable: dataframe. corresponds to attributes of original vector file
Hill_order: numeric. Hill order
Beta_info: list. BC dissimilarity & associated beta metrics from training set
selected_bands: numeric. bands selected from input_rast
alpha_metrics: character.
beta_metrics: character.
pcelim: numeric. minimum proportion of pixels to consider spectral species

Value

list of spectral alpha and beta diversity metrics