crop: Crop

In raster: Geographic Data Analysis and Modeling

Crop

Description

crop returns a geographic subset of an object as specified by an Extent object (or object from which an extent object can be extracted/created). If x is a Raster* object, the Extent is aligned to x. Areas included in y but outside the extent of x are ignored (see extend if you want a larger area).

Usage

## S4 method for signature 'Raster'
crop(x, y, filename="", snap='near', datatype=NULL, ...)

## S4 method for signature 'Spatial'
crop(x, y, ...)

Arguments

x	Raster* object or SpatialPolygons*, SpatialLines*, or SpatialPoints* object
y	Extent object, or any object from which an Extent object can be extracted (see Details)
filename	Character, output filename. Optional
snap	Character. One of 'near', 'in', or 'out', for use with alignExtent
datatype	Character. Output dataType (by default it is the same as the input datatype)
...	Additional arguments as for writeRaster

Details

Objects from which an Extent can be extracted/created include RasterLayer, RasterStack, RasterBrick and objects of the Spatial* classes from the sp package. You can check this with the extent function. New Extent objects can also be created with function extent and drawExtent by clicking twice on a plot.

To crop by row and column numbers you can create an extent like this (for Raster x, row 5 to 10, column 7 to 12) crop(x, extent(x, 5, 10, 7, 12))

Value

RasterLayer or RasterBrick object; or SpatialLines or SpatialPolygons object.

Note

values within the extent of a Raster* object can be set to NA with mask

See Also

extend, merge

Examples

r <- raster(nrow=45, ncol=90)
values(r) <- 1:ncell(r)
e <- extent(-160, 10, 30, 60)
rc <- crop(r, e)	

# use row and column numbers:
rc2 <- crop(r, extent(r, 5, 10, 7, 15))

# crop Raster* with Spatial* object
b <- as(extent(6, 6.4, 49.75, 50), 'SpatialPolygons')
crs(b) <- crs(r)
rb <- crop(r, b)

# crop a SpatialPolygon* object with another one
p <- shapefile(system.file("external/lux.shp", package="raster"))
pb <- crop(p, b)

raster documentation built on Oct. 3, 2024, 1:08 a.m.