Learn R Programming

raster (version 3.1-5)

KML: Write a KML or KMZ file

Description

Export raster data to a KML file and an accompanying PNG image file. Multi-layer objects can be used to create an animation. The function attempts to combine these into a single (and hence more convenient) KMZ file (a zip file containing the KML and PNG files).

See package plotKML for more advanced functionality

Usage

# S4 method for RasterLayer
KML(x, filename, col=rev(terrain.colors(255)), 
     colNA=NA, maxpixels=100000, blur=1, zip='', overwrite=FALSE, ...)

# S4 method for RasterStackBrick KML(x, filename, time=NULL, col=rev(terrain.colors(255)), colNA=NA, maxpixels=100000, blur=1, zip='', overwrite=FALSE, ...)

# S4 method for Spatial KML(x, filename, zip='', overwrite=FALSE, ...)

Arguments

x

Raster* object

filename

output filename

time

character vector with time lables for multilayer objects. The length of this vector should be nlayers(x) to indicate "when" or nlayers(x)+1 to indicate "begin-end"

col

color scheme to be used (see image)

colNA

The color to use for the background (default is transparent)

maxpixels

maximum number of pixels. If ncell(raster) > maxpixels, sampleRegular is used to reduce the number of pixels

blur

Integer (default=1). Higher values help avoid blurring of isolated pixels (at the expense of a png file that is blur^2 times larger)

zip

If there is no zip program on your path (on windows), you can supply the full path to a zip.exe here, in order to make a KMZ file

overwrite

logical. If TRUE, overwrite the file if it exists

...

If x is a Raster* object, additional arguments that can be passed to image

Value

None. Used for the side-effect files written to disk.

Examples

Run this code
# NOT RUN {
# Meuse data from the sp package
data(meuse.grid)
b <- rasterFromXYZ(meuse.grid)
projection(b) <- "+init=epsg:28992" 				  
# transform to longitude/latitude
p <- projectRaster(b, crs="+proj=longlat +datum=WGS84", method='ngb')
KML(p, file='meuse.kml')
# }

Run the code above in your browser using DataLab