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nlm_mosaictess

Source: R/nlm_mosaictess.R
nlm_mosaictess.Rd

Simulate a neutral landscape model using the tesselation approach introduced in Gaucherel (2008).

Usage

nlm_mosaictess(ncol, nrow, resolution = 1, germs, rescale = TRUE)

Arguments

ncol

[numerical(1)]
Number of columns forming the raster.

nrow

[numerical(1)]
Number of rows forming the raster.

resolution

[numerical(1)]
Resolution of the raster.

germs

[numerical(1)]
Intensity parameter (non-negative integer).

rescale

[logical(1)]
If TRUE (default), the values are rescaled between 0-1.

Value

RasterLayer

Details

nlm_mosaictess offers the first option of simulating a neutral landscape model described in Gaucherel (2008). It generates a random point pattern (germs) with an independent distribution and uses the Voronoi tessellation to simulate mosaic landscapes.

References

Gaucherel, C. (2008) Neutral models for polygonal landscapes with linear networks. Ecological Modelling, 219, 39 - 48.

Examples

# simulate polygonal landscapes
mosaictess <- nlm_mosaictess(ncol = 30, nrow = 60, germs = 200)

if (FALSE) {
# visualize the NLM
landscapetools::show_landscape(mosaictess)
}