
Range-apply
rapp.RdApply a function to a range of the layers of a SpatRaster that varies by cell. The range is specified for each cell with one or two SpatRasters (arguments first and last). For either first or last you can use a single number instead.
You cannot use single numbers for both first and last because in that case you could use app or Summary-methods, perhaps subsetting the layers of a SpatRaster.
See selectRange to create a new SpatRaster by extracting one or more values starting at a cell-varying layer.
Usage
# S4 method for class 'SpatRaster'
rapp(x, first, last, fun, ..., allyrs=FALSE, fill=NA,
clamp=FALSE, circular=FALSE, filename="", overwrite=FALSE, wopt=list())Arguments
- x
SpatRaster
- first
SpatRaster or positive integer between 1 and nlyr(x), indicating the first layer in the range of layers to be considered
- last
SpatRaster or positive integer between 1 and nlyr(x), indicating the last layer in the range to be considered
- fun
function to be applied
- ...
additional arguments passed to
fun- allyrs
logical. If
TRUE, values for all layers are passed tofunbut the values outside of the range are set tofill- fill
numeric. The fill value for the values outside of the range, for when
allyrs=TRUE- clamp
logical. If
FALSEand the specified range is outside1:nlyr(x)all cells are consideredNA. Otherwise, the invalid part of the range is ignored- circular
logical. If
TRUEthe values are considered circular, such as the days of the year. In that case, if first > last the layers used are c(first:nlyr(x), 1:last). Otherwise, the range would be considered invalid andNAwould be returned- filename
character. Output filename
- overwrite
logical. If
TRUE,filenameis overwritten- wopt
list with named options for writing files as in
writeRaster
Examples
r <- rast(ncols=9, nrows=9)
values(r) <- 1:ncell(r)
s <- c(r, r, r, r, r, r)
s <- s * 1:6
s[1:2] <- NA
start <- end <- rast(r)
start[] <- 1:3
end[] <- 4:6
a <- rapp(s, start, end, fun="mean")
b <- rapp(s, start, 2, fun="mean")
# cumsum from start to nlyr(x). return all layers
r <- rapp(s, start, nlyr(s), cumsum, allyrs=TRUE, fill=0)
# return only the final value
rr <- rapp(s, start, nlyr(s), function(i) max(cumsum(i)))