rSegregate: Segregate values of a raster into layers
In EhrmannS/rasterTools: Obtain and process earth observation data

Description Usage Arguments Value See Also Examples

Distinct values in a raster will be assigned to layers in a raster stack.

1	rSegregate(obj, by = NULL, flatten = FALSE, background = NULL)

`obj`	[`RasterLayer(1)`] The object to modify.
`by`	[`RasterLayer(1)`] optional object by which `obj` should be segregated. If left empty, the distinct values of `obj` will be taken.
`flatten`	[`logical(1)`] should all values be set to value 1 (`TRUE`) or should the original `obj` values be retained (`FALSE`, default)?
`background`	[`integerish(1)`] the value any cell with value NA should have.

a RasterStack of the same dimensions as obj, in which the elements specified in by or the distinct values of obj have each been assigned to a seperate layer.

Other operators to modify a raster: rBlend, rReduce, rRescale

input <- rtRasters$continuous
patches <- rPatches(rBinarise(input, thresh = 30), background = 0)
myPatches <- rSegregate(patches)
visualise(myPatches[[c(2, 3, 12, 16)]])

# when flattening, all values are set to 1
myPatches2 <- rSegregate(patches, flatten = TRUE)
visualise(myPatches2[[c(2, 3, 12, 16)]])

# cut out by 'patches'
patchValues <- rSegregate(input, by = patches)
visualise(patchValues[[c(2, 3, 12, 16)]])