categorize: Categorizing continious data
In elsa: Entropy-based Local indicator of Spatial Association

Description Usage Arguments Details Value Author(s) References Examples

A function to categorize (discretize) numerical data in the form of a raster layer, or a vector.

1	categorize(x,nc,...)

`x`	A `RasterLayer` or a `numerical vector`
`nc`	Number of classes, if missing, it will be automatically detected
`...`	Additional parameters for `writeRaster` function (`filename` should be specified as additional argument)

If nc is not specified, the function calls the function nclass to find the best number of classes. For the details of how nclass works, see the reference.

`RasterLayer`	if x is a `RasterLayer`
`numeric vector`	if x is a numeric `vector`

Babak Naimi naimi.b@gmail.com

http://r-gis.net

Naimi. B. et al. (under review) ELSA: An Entropy-based Local indicators of Spatial Association, Geographical Analysis;

categorize(1:10,3) # categorizeing a numeric vector into 3 categories

file <- system.file('external/dem_example.grd',package='elsa')
r <- raster(file)
plot(r,main='a continuous raster map')
rc <- categorize(r,nc=4)
plot(rc, main='categorized map')