R: Weighted mean of layers

weighted.mean {terra} | R Documentation

## Weighted mean of layers

### Description

Compute the weighted mean for each cell of the layers of a SpatRaster. The weights can be spatially variable or not.

### Usage

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

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

### Arguments

`x` | SpatRaster
`w` | A vector of weights (one number for each layer), or for spatially variable weights, a SpatRaster 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
`...` | options for writing files as in `writeRaster`

### Value

SpatRaster

### See Also

`Summary-methods`, `weighted.mean`

### Examples

    b <- rast(system.file("ex/logo.tif", package="terra"))

    # 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, "col")

    # weigh by row number
    w2 <- init(b, "row")
    w <- c(w1, w2, w2)

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

[Package terra version 1.3-22 Index]