View source: R/Lib_MapBetaDiversity.R
map_beta_div | R Documentation |
maps beta diversity indicator based on spectral species distribution
map_beta_div(
Input_Image_File = FALSE,
Output_Dir = "",
window_size = 10,
TypePCA = "SPCA",
nbclusters = 50,
Nb_Units_Ordin = 2000,
MinSun = 0.25,
pcelim = 0.02,
scaling = "PCO",
dimMDS = 3,
FullRes = FALSE,
LowRes = TRUE,
nbCPU = 1,
MaxRAM = 0.25,
ClassifMap = FALSE
)
Input_Image_File |
character. Path and name of the image to be processed. |
Output_Dir |
character. Output directory. |
window_size |
numeric. Dimensions of the spatial unit. |
TypePCA |
character. Type of PCA (PCA, SPCA, NLPCA...). |
nbclusters |
numeric. Number of clusters defined in k-Means. |
Nb_Units_Ordin |
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 |
MinSun |
numeric. Minimum proportion of sunlit pixels required to consider plot. |
pcelim |
numeric. Minimum contribution in percent required for a spectral species. |
scaling |
character. PCO or NMDS |
dimMDS |
numeric. number of dimensions for the scaling. |
FullRes |
boolean. |
LowRes |
boolean. |
nbCPU |
numeric. Number of CPUs to use in parallel. |
MaxRAM |
numeric. MaxRAM maximum size of chunk in GB to limit RAM allocation when reading image file. |
ClassifMap |
character. If FALSE, perform standard biodivMapR based on SpectralSpecies. else corresponds to path for a classification map. |
PCoA_model
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