R: Weighted mean of rasters

weighted.mean {raster} | R Documentation

## Weighted mean of rasters

### Description

Computes the weighted mean for each cell of a number or raster layers. The weights can be spatially variable or not.

### Usage

    ## S4 method for signature 'RasterStackBrick,vector'
    weighted.mean(x, w, na.rm=FALSE, filename='', ...)

    ## S4 method for signature 'RasterStackBrick,RasterStackBrick'
    weighted.mean(x, w, na.rm=FALSE,filename='', ...)

### Arguments

`x` | RasterStack or RasterBrick
`w` | A vector of weights (one number for each layer), or for spatially variable weights, a RasterStack or RasterBrick with weights (should have the same extent, resolution and number of layers as x)
`na.rm` | Logical. Should missing values be removed?
`filename` | Character. Output filename (optional)
`...` | Additional arguments as for `writeRaster`

### Value

RasterLayer

### See Also

`Summary-methods`, `weighted.mean`

### Examples

    b <- brick(system.file("external/rlogo.grd", package="raster"))

    # give least weight to first layer, most to last layer
    wm1 <- weighted.mean(b, w=1:3)

    # spatially varying weights
    # weigh by column number
    w1 <- init(b, v='col')

    # weigh by row number
    w2 <- init(b, v='row')
    w <- stack(w1, w2, w2)

    wm2 <- weighted.mean(b, w=w)

[Package raster version 3.3-7 Index]