compute alpha and beta diversity metrics from pixel data corresponding to spectral species extracted from a window

Source: R/alphabeta_window.R

compute alpha and beta diversity metrics from pixel data corresponding to spectral species extracted from a window

alphabeta_window(
  SSwindow,
  nbclusters,
  Beta_info,
  alphametrics,
  pcelim = 0.02,
  Hill_order = 1,
  p = NULL
)

Arguments

SSwindow

dataframe. spectral species corresponding to a raster subset (window = elementary spatial unit of process)

nbclusters

numeric. number of clusters used in kmeans

Beta_info

list. BC dissimilarity & associated beta metrics from training set

alphametrics

list. alpha diversity metrics: richness, shannon, simpson

pcelim

numeric. minimum proportion of pixels to consider spectral species

Hill_order

numeric. Hill order

p

list. progressor object for progress bar

Value

list of alpha and beta diversity metrics