`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, ...)
```

- x
SpatRaster

- fun
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`

- weights
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
```