cellStats {raster} | R Documentation

## Statistics across cells

### Description

Compute statistics for the cells of each layer of a Raster* object. In the `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. Also see `layerStats`

### Usage

    ## S4 method for signature 'RasterLayer'
    cellStats(x, stat='mean', na.rm=TRUE, asSample=TRUE, ...)

    ## S4 method for signature 'RasterStackBrick'
    cellStats(x, stat='mean', na.rm=TRUE, asSample=TRUE, ...)

### Arguments

`x` | Raster* object
`stat` | The function to be applied. See Details
`na.rm` | Logical. Should `NA` values be removed?
`asSample` | Logical. Only relevant for `stat=sd` in which case, if `TRUE`, the standard deviation for a sample (denominator is `n-1`) is computed, rather than for the population (denominator is `n`)
`...` | Additional arguments

### Details

`cellStats` will fail (gracefully) for very large Raster* objects except for a number of known functions: sum, mean, min, max, sd, 'skew' and 'rms'. 'skew' (skewness) and 'rms' (Root Mean Square) 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 `sampleRegular` )

### Value

Numeric

### See Also

`freq`, `quantile`, `minValue`, `maxValue`, `setMinMax`

### Examples

    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)

[Package raster version 2.6-7 Index]