raster
package, functions such as max, min, and mean,
when used with Raster objects as argument, return a new Raster object (with a value computed for each cell). In contrast, cellStats returns a single value, computed from the all the values of a layer.cellStats(x, stat='mean', ...)
cellStats
will fail (gracefully) for very large Raster objects except for a number of known functions: sum, mean, min, max, sd, 'countNA'. 'countNA' must be supplied as a character value (with quotes), the other known functions may be supplied with or without quotes. For other functions you could perhaps use a sample of the RasterLayer that can be held in memory (see sampleRandom
and sampleRegular
)quantile
, minValue
, maxValue
, setMinMax
r <- raster(nrow=18, ncol=36)
r[] <- runif(ncell(r)) * 10
# works for large files
cellStats(r, 'mean')
# same, but does not work for very large files
cellStats(r, mean)
# multi-layer object
cellStats(brick(r,r), mean)
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