map_spectral_species: maps spectral species based on PCA file computed previously

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

Description

maps spectral species based on PCA file computed previously

Usage

map_spectral_species(
  Input_Image_File,
  Output_Dir,
  PCA_Files,
  PCA_model,
  SpectralFilter,
  Input_Mask_File,
  Pix_Per_Partition,
  nb_partitions,
  Continuum_Removal = TRUE,
  TypePCA = "SPCA",
  nbclusters = 50,
  nbCPU = 1,
  MaxRAM = FALSE,
  Kmeans_Only = FALSE,
  SelectedPCs = FALSE
)

Arguments

Input_Image_File	character. Path of the image to be processed
Output_Dir	character. Path for output directory
PCA_Files	character. Path of the PCA image
PCA_model	list. Parameters for teh PCA model to be applied on original image
SpectralFilter	list. information about spectral band location (central wavelength), bands to keep...
Input_Mask_File	character. Path of the mask corresponding to the image
Pix_Per_Partition	numeric. number of pixels for each partition
nb_partitions	numeric. number of partition
Continuum_Removal	boolean. Set to TRUE if continuum removal should be applied
TypePCA	character. Type of PCA: choose either "PCA" or "SPCA"
nbclusters	numeric. number of clusters defined in k-Means
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.
Kmeans_Only	boolean. set to TRUE if computation of kmeans without production of spectral species map
SelectedPCs	numeric. Define PCs to be selected. Set to FALSE if you want to use the "Selected_Components.txt" file

Value

None

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