Apply a function on subsets of a RasterStack or RasterBrick

Apply a function on subsets of a RasterStack or RasterBrick. The layers to be combined are indicated with the vector indices. The function used should return a single value, and the number of layers in the output Raster* equals the number of unique values in indices. For example, if you have a RasterStack with 6 layers, you can use indices=c(1,1,1,2,2,2) and fun=sum. This will return a RasterBrick with two layers. The first layer is the sum of the first three layers in the input RasterStack, and the second layer is the sum of the last three layers in the input RasterStack. Indices are recycled such that indices=c(1,2) would also return a RasterBrick with two layers (one based on the odd layers (1,3,5), the other based on the even layers (2,4,6)).

See calc if you want to use a more efficient function that returns multiple layers based on _all_ layers in the Raster* object.

stackApply(x, indices, fun, filename='', na.rm=TRUE, ...)

Arguments

x

Raster* object

indices

integer. Vector of length nlayers(x) (shorter vectors are recycled) containing all integer values between 1 and the number of layers of the output Raster*

fun

function that returns a single value, e.g. mean or min, and that takes a na.rm argument (or can pass through arguments via ...)

na.rm

logical. If TRUE, NA cells are removed from calculations

filename

character. Optional output filename

...

additional arguments as for writeRaster

Value

A new Raster* object, and in some cases the side effect of a new file on disk.

See also

calc, stackSelect

Examples

r <- raster(ncol=10, nrow=10)
values(r) <- 1:ncell(r)
s <- brick(r,r,r,r,r,r)
s <- s * 1:6
b1 <- stackApply(s, indices=c(1,1,1,2,2,2), fun=sum)
b1
#> class      : RasterBrick 
#> dimensions : 10, 10, 100, 2  (nrow, ncol, ncell, nlayers)
#> resolution : 36, 18  (x, y)
#> extent     : -180, 180, -90, 90  (xmin, xmax, ymin, ymax)
#> crs        : +proj=longlat +datum=WGS84 +no_defs 
#> source     : memory
#> names      : index_1, index_2 
#> min values :       6,      15 
#> max values :     600,    1500 
#> 
b2 <- stackApply(s, indices=c(1,2,3,1,2,3), fun=sum)
b2
#> class      : RasterBrick 
#> dimensions : 10, 10, 100, 3  (nrow, ncol, ncell, nlayers)
#> resolution : 36, 18  (x, y)
#> extent     : -180, 180, -90, 90  (xmin, xmax, ymin, ymax)
#> crs        : +proj=longlat +datum=WGS84 +no_defs 
#> source     : memory
#> names      : index_1, index_2, index_3 
#> min values :       5,       7,       9 
#> max values :     500,     700,     900 
#>