global.Rd
Compute global statistics, that is summarized values of an entire SpatRaster.
If x
is very large global
will fail, except when fun
is one of "mean", "min", "max", "sum", "prod", "range" (min and max), "rms" (root mean square), "sd" (sample standard deviation), "std" (population standard deviation), "isNA" (number of cells that are NA), "notNA" (number of cells that are not NA).
You can compute a weighted mean or sum by providing a SpatRaster with weights.
# S4 method for SpatRaster
global(x, fun="mean", weights=NULL, ...)
SpatRaster
function to be applied to summarize the values by zone. Either as one or more of these character values: "max", "min", "mean", "sum", "range", "rms" (root mean square), "sd", "std" (population sd, using n
rather than n-1
), "isNA", "notNA"; or a proper R function (but these may fail for very large SpatRasters)
additional arguments passed on to fun
NULL or SpatRaster
A data.frame
with a row for each layer
zonal
for "zonal" statistics, and app
or Summary-methods
for "local" statistics, and extract
for summarizing values for polygons. Also see focal
for "focal" or "moving window" operations.
r <- rast(ncols=10, nrows=10)
values(r) <- 1:ncell(r)
global(r, "sum")
#> sum
#> lyr.1 5050
global(r, "mean", na.rm=TRUE)
#> mean
#> lyr.1 50.5
x <- c(r, r/10)
global(x, c("sum", "mean", "sd"), na.rm=TRUE)
#> sum mean sd
#> lyr.1 5050 50.50 29.011492
#> lyr.1.1 505 5.05 2.901149
global(x, function(i) min(i) / max(i))
#> global
#> lyr.1 0.01
#> lyr.1.1 0.01