terra (version 1.0-10)

app: Apply a function to the cells of a SpatRaster

Description

Apply a function to values of each cell of a SpatRaster. Similar to apply -- think of each layer in a SpatRaster as a column (or row) in a matrix. This is generally used to summarize the values of multiple layers into one layer; but this is not required.

You can also apply a function fun across datasets by layer of a SpatRasterDataset. In that case, summarization is across SpatRasters, not across layers.

Usage

# S4 method for SpatRaster
app(x, fun, ..., cores=1, filename="", overwrite=FALSE, wopt=list())
# S4 method for SpatRasterDataset
app(x, fun, ..., cores=1, filename="", overwrite=FALSE, wopt=list())

Arguments

x

SpatRaster or SpatRasterDataset

fun

function

...

additional arguments for fun

cores

positive integer. If cores > 1, a 'parallel' package cluster with that many cores is created and used. Ignored for C++ level implemented functions "max", "min", "mean", "range", "prod", "sum", "any", and "all"

filename

character. Output filename. Optional

overwrite

logical. If TRUE, filename is overwritten

wopt

list. Options for writing files as in writeRaster

Value

SpatRaster

Details

To speed things up, parallelization is supported, but this is often not helpful, and it may actually be slower. There is only a speed gain if you have many cores (> 8) and/or a very complex (slow) function fun. If you write fun yourself, consider supplying a cppFunction made with the Rcpp package instead (or go have a cup of tea while the computer works for you).

See Also

lapp, tapp, math

Examples

# NOT RUN {
r <- rast(ncols=10, nrows=10)
values(r) <- 1:ncell(r)
x <- c(r, sqrt(r), r-50)
s <- app(x, fun=sum)
s
# for a few generic functions like 
# "sum", "mean", and "max" you can also do
sum(x)

## SpatRasterDataset
sd <- sds(x, x*2, x/3)
a <- app(sd, max)
a
# same as 
max(x, x*2, x/3)

# }