`weighted.mean.Rd`

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

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

- 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`

RasterLayer

```
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)
```