ecospat.recstrat_prop: Random Ecologically Stratified Sampling of propotional...

In ecospat: Spatial Ecology Miscellaneous Methods

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 [e-mail] and Niklaus E. Zimmermann [e-mail]

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)

ecospat documentation built on July 4, 2024, 5:06 p.m.