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Take a random sample from the cell values of a Raster* object (without replacement).
# S4 method for Raster sampleRandom(x, size, na.rm=TRUE, ext=NULL, cells=FALSE, rowcol=FALSE, xy=FALSE, sp=FALSE, asRaster=FALSE, ...)
A vector, matrix (if cells=TRUE or x is a multi-layered object), or a SpatialPointsDataFrame (if sp=TRUE )
cells=TRUE
x
sp=TRUE
Raster* object
positive integer giving the number of items to choose
logical. If TRUE (the default), NA values are removed from random sample
TRUE
NA
Extent object. To limit regular sampling to the area within the extent
logical. If TRUE, sampled cell numbers are also returned
logical. If TRUE, sampled row and column numbers are also returned
logical. If TRUE, coordinates of sampled cells are also returned
logical. If TRUE, a SpatialPointsDataFrame is returned
logical. If TRUE, a Raster* object is returned with random cells with values, all other cells with NA
Additional arguments as in writeRaster. Only relevant when asRaster=TRUE
writeRaster
asRaster=TRUE
With argument na.rm=TRUE, the returned sample may be smaller than requested
na.rm=TRUE
sampleRegular, sampleStratified
r <- raster(system.file("external/test.grd", package="raster")) sampleRandom(r, size=10) s <- stack(r, r) sampleRandom(s, size=5, cells=TRUE, sp=TRUE)
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