Weighted mean of layers
Compute the weighted mean for each cell of the layers of a SpatRaster. The weights can be spatially variable or not.
## 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="", ...)
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 |
SpatRaster
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)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.