randomize_raster: randomize_raster

View source: R/randomize_raster.R

randomize_rasterR Documentation

randomize_raster

Description

Randomized-habitats procedure

Usage

randomize_raster(
  raster,
  n_random = 1,
  directions = 4,
  return_input = TRUE,
  simplify = FALSE,
  verbose = TRUE
)

Arguments

raster

RasterLayer with discrete habitat classes.

n_random

Integer with number of randomizations.

directions

Interger with cells neighbourhood rule: 4 (rook's case), 8 (queen's case).

return_input

Logical if the original input data is returned.

simplify

Logical if only the raster will be returned if n_random = 1 and return_input = FALSE.

verbose

Logical if progress report is printed.

Details

The function randomizes a habitat map with discrete classes (as RasterLayer) as proposed by Harms et al. (2001) as “randomized-habitats procedure”. The algorithm starts with an empty habitat map and starts to assign random neighbouring cells to each habitat (in increasing order of abundance in observed map). We modified the procedure slightly by increasing a probability to jump to a non-neighbouring cell as the current patch becomes larger.

In case the RasterLayer contains NA cells, this needs to be reflected in the observation window of the point pattern as well (i.e., no point locations possible in these areas).

Value

rd_ras

References

Harms, K.E., Condit, R., Hubbell, S.P., Foster, R.B., 2001. Habitat associations of trees and shrubs in a 50-ha neotropical forest plot. Journal of Ecology 89, 947–959. <https://doi.org/10.1111/j.1365-2745.2001.00615.x>

See Also

translate_raster

Examples

## Not run: 
landscape_classified <- classify_habitats(landscape, n = 5, style = "fisher")
landscape_random <- randomize_raster(landscape_classified, n_random = 19)

## End(Not run)


mhesselbarth/SHAR documentation built on March 27, 2022, 10:53 a.m.