Aliases: Summary-methods median mean min max which.min which.max any all prod range sum mean,SpatRaster-method mean,SpatVector-method mean,SpatExtent-method median,SpatRaster-method median,SpatVector-method min,SpatRaster-method max,SpatRaster-method range,SpatRaster-method which.min,SpatRaster-method which.max,SpatRaster-method any,SpatRaster-method all,SpatRaster-method prod,SpatRaster-method range,SpatRaster-method sum,SpatRaster-method stdev stdev,SpatRaster-method
### ** Examples set.seed(0) r <- rast(nrows=10, ncols=10, nlyrs=3) values(r) <- runif(ncell(r) * nlyr(r)) x <- mean(r) # note how this returns one layer x <- sum(c(r, r[[2]]), 5) # and this returns three layers y <- sum(r, r[[2]], 5) max(r)
class : SpatRaster dimensions : 10, 10, 1 (nrow, ncol, nlyr) resolution : 36, 18 (x, y) extent : -180, 180, -90, 90 (xmin, xmax, ymin, ymax) coord. ref. : lon/lat WGS 84 source : memory name : max min value : 0.1808664 max value : 0.9926841
max(r, 0.5)
class : SpatRaster dimensions : 10, 10, 1 (nrow, ncol, nlyr) resolution : 36, 18 (x, y) extent : -180, 180, -90, 90 (xmin, xmax, ymin, ymax) coord. ref. : lon/lat WGS 84 source : memory name : max min value : 0.5 max value : 0.9926841
y <- stdev(r) # not the same as yy <- app(r, sd) z <- stdev(r, r*2) x <- mean(r, filename=paste0(tempfile(), ".tif"))