View source: R/alphabeta_window.R
alphabeta_window | R Documentation |
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
)
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 |
list of alpha and beta diversity metrics
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