computes diversity metrics from a classification raster containing information on a specific class for each pixel

biodivMapR_classif(
  input_raster_path,
  output_dir,
  window_size,
  input_mask_path = NULL,
  site_name = NULL,
  alpha_metrics = c("richness", "shannon", "simpson", "hill"),
  beta_metrics = c("bray", "brayturn", "simpson_diss", "sorensen", "jaccard",
    "jaccardturn"),
  pcelim = 0.02,
  compute_beta = TRUE,
  nb_samples_beta = 1000
)

Arguments

input_raster_path: character. path for the input rasters
output_dir: character. path for the output files
window_size: numeric. window size for square plots
input_mask_path: character. path for mask file
site_name: character. nname of site
alpha_metrics: list. alpha diversity metrics
beta_metrics: list. beta diversity metrics
pcelim: numeric. minimum proportion of pixels to consider spectral species
compute_beta: boolean. set TRUE if beta is to be computed
nb_samples_beta: numeric. number of samples to compute beta diversity

Value

diversity_maps_ground