gridSample: Stratified regular sample on a grid

In dismo: Species Distribution Modeling

Stratified regular sample on a grid

Description

Sample points from xy, using a grid (raster) as stratification. Up to n points are sampled from each stratum (cell). For "chessboard" sampling (i.e. sampling from half the cells), use the argument chess='black', or chess='white'.

Usage

gridSample(xy, r, n=1, chess='') 

Arguments

xy	A two column matrix or data.frame with x and y coordinates (or longitude and latitude), or a SpatialPoints* object
r	Raster* object
n	Maximum number of samples per cell
chess	Character. ”, 'black', or 'white'. If 'black' or 'white', "chess-board" sampling is used. I.e. only the 'white' fields, or only the 'black' fields are sampled. Cell number 1 (the upper left corner of r) is white.

Value

A two column matrix with x and y coordinates (or longitude and latitude)

Author(s)

Robert J. Hijmans

See Also

pwdSample

Examples

x <- rnorm(1000, 10, 5)
y <- rnorm(1000, 50, 5)
xy <- cbind(x,y)
res <- 5
r <- raster(extent(range(xy[,1]), range(xy[,2])) + res)
res(r) <- res

samp <- gridSample(xy, r, n=1)
plot(xy, cex=0.1)
points(samp, pch='x', col='red')

dismo documentation built on May 31, 2023, 6:15 p.m.