terra (version 1.2-5)

merge: Merge SpatRaster or SpatExtent objects, or a SpatVector with a data.frame

Description

Merge SpatRasters to form a new SpatRaster object with a larger spatial extent. If objects overlap, the values get priority in the same order as the arguments. See classify to merge a SpatRaster and a data.frame. You can also merge SpatExtent objects.

There is a also a method for merging SpatVector with a data.frame; that is, to join the data.frame to the attribute table of the SpatVector..

Usage

# S4 method for SpatRaster,SpatRaster
merge(x, y, ..., filename="", overwrite=FALSE, wopt=list())
# S4 method for SpatExtent,SpatExtent
merge(x, y, ...)
# S4 method for SpatVector,data.frame
merge(x, y, ...)

Arguments

x

SpatRaster or SpatExtent

y

object of same class as x

...

if x is a SpatRaster or SpatVector: additional objects of the same class as x. If x is a SpatVector, the same arguments as in merge

filename

character. Output filename

overwrite

logical. If TRUE, filename is overwritten

wopt

list with named options for writing files as in writeRaster

Value

SpatRaster or SpatExtent

Details

The SpatRaster objects must have the same origin and spatial resolution. In areas where the SpatRaster objects overlap, the values of the SpatRaster that is last in the sequence of arguments will be retained.

See Also

mosaic

Examples

# NOT RUN {
x <- rast(xmin=-110, xmax=-50, ymin=40, ymax=70, ncols=60, nrows=30)
y <- rast(xmin=-80, xmax=-20, ymax=60, ymin=30)
res(y) <- res(x)
values(x) <- 1:ncell(x)
values(y) <- 1:ncell(y)
mr <- merge(x, y)
plot(mr)
mr <- merge(y, x)

# if you have many SpatRaster objects in a list
# you can use do.call:
s <- list(x, y)
# add arguments such as filename
s$filename <- ""
m <- do.call(merge, s)

##
# SpatVector with data.frame
f <- system.file("ex/lux.shp", package="terra")
p <- vect(f)
dfr <- data.frame(District=p$NAME_1, Canton=p$NAME_2, Value=round(runif(length(p), 100, 1000)))
dfr <- dfr[1:5, ]
pm <- merge(p, dfr, all.x=TRUE, by.x=c('NAME_1', 'NAME_2'), by.y=c('District', 'Canton'))
pm
values(pm)
# }