# weighted.mean

From raster v2.9-5
by Robert Hijmans

##### Weighted mean of rasters

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

##### Examples

```
# NOT RUN {
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)
# }
```

*Documentation reproduced from package raster, version 2.9-5, License: GPL (>= 3)*

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