maps beta diversity indicator based on spectral species distribution

map_beta_div(Input_Image_File, Output_Dir, window_size, TypePCA = "SPCA",
nb_partitions = 20, nbclusters = 50, Nb_Units_Ordin = 2000,
MinSun = 0.25, pcelim = 0.02, scaling = "PCO", FullRes = TRUE,
LowRes = FALSE, nbCPU = 1, MaxRAM = 0.25)

## Arguments

Input_Image_File character. Path and name of the image to be processed. character. Output directory. numeric. Dimensions of the spatial unit. character. Type of PCA (PCA, SPCA, NLPCA...). numeric. Number of partitions (repetitions) to be computed then averaged. numeric. Number of clusters defined in k-Means. numeric. Maximum number of spatial units to be processed in NMDS. --> 1000 will be fast but may not capture important patterns if large area --> 4000 will be slow but may show better ability to capture landscape patterns numeric. Minimum proportion of sunlit pixels required to consider plot. numeric. Minimum contribution (in %) required for a spectral species character. "PCO" or "NMDS". boolean. boolean. numeric. Number of CPUs to use in parallel. numeric. MaxRAM maximum size of chunk in GB to limit RAM allocation when reading image file.

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