rPermute: Apply a permutation to the cell values of a raster
In EhrmannS/rasterTools: Obtain and process earth observation data

Description Usage Arguments Value See Also Examples

The permutation of a set of cell values leads to a systematic (re)arrangement of all the members of the set.

1	rPermute(obj, type = "invert", by = NULL)

`obj`	[`RasterLayer(1)`] The object to modify.
`type`	[`character(1)`] the type of permutation that should be applied. Either `"invert"`, `"revert"`, `"descending"`, `"ascending"` or `"cycle"`.
`by`	[`integerish(1)`] value by which to apply the permutation; recently only for `type = "cycle"`.

A RasterLayer of the same dimensions as obj, in which all values have been permuted according to the chosen type.

Other operators to modify cell values: rBinarise, rCategorise, rDistance, rFillNA, rOffset, rRange, rSubstitute

input <- rtRasters$continuous

# invert background/foreground
visualise(raster::stack(input, rPermute(input)))

# sort patch values ascending
patches <- rPatches(rBinarise(input, thresh = 30))
visualise(raster::stack(patches, rPermute(patches, type = "ascending")))

# cycle values backwards by 30
visualise(raster::stack(input, rPermute(input, type = "cycle", by = -30)))