ecospat.recstrat_prop {ecospat} | R Documentation |
Random Ecologically Stratified Sampling of propotional numbers
Description
This function randomly collects a user-defined total number of samples from the stratification layer.
Usage
ecospat.recstrat_prop(in_grid, sample_no)
Arguments
in_grid |
The stratification grid (SpatRaster) to be sampled. |
sample_no |
The total number of pixels to be sampled. |
Details
The number of samples per class are determined proportional to the abundance of each class. The number of classes in the stratification layer are determined automatically from the integer input map. If the proportion of samples for a certain class is below one then no samples are collected for this class.
Value
Returns a dataframe with the selected sampling locations their coordinates and the strata they belong in.
Author(s)
Achilleas Psomas achilleas.psomas@wsl.ch and Niklaus E. Zimmermann niklaus.zimmermann@wsl.ch
See Also
ecospat.recstrat_regl
ecospat.rcls.grd
Examples
library(terra)
library(classInt)
library(biomod2)
data("bioclim_current")
bioclim_current <- terra::rast(bioclim_current)
bio3 <- bioclim_current[["bio3"]]
bio12 <- bioclim_current[["bio12"]]
B3.rcl<-ecospat.rcls.grd(bio3,9)
B12.rcl<-ecospat.rcls.grd(bio12,9)
B3B12.comb <- B12.rcl+B3.rcl*10
B3B12.prop_samples <- ecospat.recstrat_prop(B3B12.comb,100)
plot(B3B12.comb)
points(B3B12.prop_samples$x,B3B12.prop_samples$y,pch=16,cex=0.6,col=B3B12.prop_samples$class)
[Package ecospat version 4.1.1 Index]