sampleCells: Stratified random sampling

In mqueinnec/RMFinventory:

Description

This is the function implementing the stratified random sampling approach

Usage

sampleCells(
  strata_layer,
  matrix_strata,
  existing_sample,
  toSample,
  mindist,
  message = TRUE,
  wrow = 3,
  wcol = 3,
  checkStrataMatrix = TRUE,
  checkStrataRaster = FALSE
)

Arguments

strata_layer	RasterLayer. A layer of candidates cells that can be sampled. The value of each cell should be the strata ID
matrix_strata	A matrix obtained from the getPCAstrata function
existing_sample	Optional. A data.frame with a column strata, a column x and a column y giving the XY coordinates of sampled cells centroids or existing plots.
toSample	A data.frame with the first column refering to strat ID and second column the number of cells to sample in each strata
mindist	Minimum distance between sampled cells
message	Logical. Should messages be printed to console while the function is running
wrow	Number of row in the focal window (default is 3)
wcol	Number of columns in the focal window (default is 3)
checkStrataMatrix	Logical. If TRUE, will calculate unique values of strata layer and will check if they match the ones provided in toSample. Default is FALSE
checkStrataRaster	Logical. If TRUE, will calculate unique values of strata layer and will check if they match the ones provided in toSample. Default is FALSE

mqueinnec/RMFinventory documentation built on May 4, 2021, 10:45 a.m.