raster (version 3.6-20)

zonal: Zonal statistics

Description

Compute zonal statistics, that is summarized values of a Raster* object for each "zone" defined by a RasterLayer.

If `stat` is a true `function`, `zonal` will fail (gracefully) for very large Raster objects, but it will in most cases work for functions that can be defined as by a character argument ('mean', 'sd', 'min', 'max', or 'sum'). In addition you can use 'count' to count the number of cells in each zone (only useful with `na.rm=TRUE`, otherwise `freq(z)` would be more direct.

If a function is used, it should accept a `na.rm` argument (or at least a `...` argument)

Usage

```# S4 method for RasterLayer,RasterLayer
zonal(x, z, fun='mean', digits=0, na.rm=TRUE, ...) # S4 method for RasterStackBrick,RasterLayer
zonal(x, z, fun='mean', digits=0, na.rm=TRUE, ...)```

Value

A matrix with a value for each zone (unique value in `zones`)

Arguments

x

Raster* object

z

RasterLayer with codes representing zones

fun

function to be applied to summarize the values by zone. Either as character: 'mean', 'sd', 'min', 'max', 'sum'; or, for relatively small Raster* objects, a proper function

digits

integer. Number of digits to maintain in 'zones'. By default averaged to an integer (zero digits)

na.rm

logical. If `TRUE`, `NA` values in `x` are ignored

...

additional arguments. One implemented: `progress`, as in `writeRaster`

See `cellStats` for 'global' statistics (i.e., all of `x` is considered a single zone), and `extract` for summarizing values for polygons

Examples

Run this code
``````r <- raster(ncols=10, nrows=10)
values(r) <- runif(ncell(r)) * 1:ncell(r)
z <- r
values(z) <- rep(1:5, each=20)
# for large files, use a character value rather than a function
zonal(r, z, 'sum')

# for smaller files you can also provide a function
if (FALSE) {
zonal(r, z, mean)
zonal(r, z, min)
}

# multiple layers
zonal(stack(r, r*10), z, 'sum')
``````

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