Computes diversity metrics from raster data

get_raster_diversity(
  input_raster_path,
  Kmeans_info,
  Beta_info,
  input_mask_path = NULL,
  SelectBands = NULL,
  alphametrics = "shannon",
  Hill_order = 1,
  FDmetric = NULL,
  window_size,
  maxRows = NULL,
  pcelim = 0.02,
  nbCPU = 1,
  MinSun = 0.25
)

Arguments

input_raster_path: list. list of paths corresponding to input rasters
Kmeans_info: list. kmeans description obtained from function get_kmeans
Beta_info: list. BC dissimilarity & associated beta metrics from training set
input_mask_path: character. path for mask file
SelectBands: numeric. bands selected from input_rast
alphametrics: list. alpha diversity metrics: richness, shannon, simpson
Hill_order: numeric. Hill order
FDmetric: character. list of functional metrics
window_size: numeric. window size for square plots
maxRows: numeric. max number of rows in each block
pcelim: numeric. minimum proportion of pixels to consider spectral species
nbCPU: numeric. Number of CPUs available
MinSun: numeric. minimum amount of sunlit pixels in the plots

Value

ab_div_metrics list. contains all metrics