Stratified random sample
Take a stratified random sample from the cell values of a Raster* object (without replacement). An attempt is made to sample size
cells from each stratum. The values in the RasterLayer x
are rounded to integers; with each value representing a stratum.
## S4 method for signature 'RasterLayer' sampleStratified(x, size, exp=10, na.rm=TRUE, xy=FALSE, ext=NULL, sp=FALSE, ...)
x |
Raster* object, with values (rounded to integers) representing strata |
size |
positive integer giving the number of items to choose |
exp |
numeric >= 1. 'Expansion factor' that is multiplied with size to get an intial sample. Can be increased when you get an insufficient number of samples for small strata |
na.rm |
logical. If |
xy |
logical. Return coordinates of cells rather than cell numbers |
ext |
Extent object. To limit regular sampling to the area within the extent |
sp |
logical. If |
... |
Additional arguments. None implemented |
The function may not work well when the size (number of cells) of some strata is relatively small.
matrix of cell numbers (and optionally coordinates) by stratum
r <- raster(ncol=10, nrow=10) names(r) <- 'stratum' values(r) <- round((runif(ncell(r))+0.5)*3) sampleStratified(r, size=3)
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