R: Use spplot to plot a Raster* or other object

spplot {raster} | R Documentation

## Use spplot to plot a Raster* or other object

### Description

A wrapper function around spplot (sp package). With spplot it is easy to map several layers with a single legend for all maps. ssplot is itself a wrapper around the levelplot function in the lattice package, and see the help for these functions for additional options.

One of the advantages of the wrapper function for Raster* objects is the additional `maxpixels` argument to sample large objects for faster drawing.

There are also added spplot methods for Spatial objects that have no data.frame and for SpatVector (terra package)

### Usage

    ## S4 method for signature 'Raster'
    spplot(obj, ..., maxpixels=50000, as.table=TRUE, zlim)

### Arguments

`obj` | Raster* object
`...` | Any argument that can be passed to `spplot` and levelplot
`maxpixels` | integer. Number of pixels to sample from each layer of large Raster objects
`as.table` | If `TRUE`, the plots are ordered from top to bottom
`zlim` | Vector of two elements indicating the minimum and maximum values to be mapped (values outside that ranage are set to these limits)

### See Also

`plot, plotRGB`

The rasterVis package has more advanced plotting methods for Raster objects

### Examples

    r <- raster(system.file("external/test.grd", package="raster"))
    s <- stack(r, r*2)
    names(s) <- c('meuse', 'meuse x 2')

    spplot(s)

    pts <- data.frame(sampleRandom(r, 10, xy=TRUE))
    coordinates(pts) <- ~ x + y

    spplot(s, scales = list(draw = TRUE),
    		xlab = "easting", ylab = "northing",
    		col.regions = rainbow(99, start=.1),
    		names.attr=c('original', 'times two'),
    		sp.layout = list("sp.points", pts, pch=20, cex=2, col='black'),
    		par.settings = list(fontsize = list(text = 12)), at = seq(0, 4000, 500))

[Package raster version 3.4-13 Index]