map_functional_div: maps functional diversity indicators based on prior selection...

In floriandeboissieu/biodivMapR: biodivMapR: an R package for a- and ß-diversity mapping using remotely-sensed images

Description

maps functional diversity indicators based on prior selection of PCs

Usage

map_functional_div(
  Original_Image_File,
  Functional_File = FALSE,
  Selected_Features = FALSE,
  Output_Dir,
  window_size,
  TypePCA = "SPCA",
  MinSun = 0.25,
  FullRes = TRUE,
  LowRes = FALSE,
  MapSTD = FALSE,
  nbCPU = FALSE,
  MaxRAM = FALSE,
  SmoothImage = TRUE
)

Arguments

Original_Image_File	character. Path and name of the original input image for biodivMapR.
Functional_File	character. Path and name of the image processed to be used to compute functional diversity –> can be PCA file with. if FALSE: using Original_Image_File
Selected_Features	numeric. Contains features to be used from Input_Image_File. using all if FALSE
Output_Dir	character. Output directory.
window_size	numeric. Size of spatial units (in pixels) to compute diversity.
TypePCA	character. Type of PCA (PCA, SPCA, NLPCA...).
MinSun	numeric. Minimum proportion of sunlit pixels required to consider plot.
FullRes	boolean. Full resolution.
LowRes	boolean. Low resolution.
MapSTD	boolean. map of standard deviation of the alpha diversity map (over repetitions)
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.
SmoothImage	boolean. set TRUE if you want smooting filter applied to resulting diversity rasters

Value

None

floriandeboissieu/biodivMapR documentation built on March 11, 2021, 8:46 a.m.