View source: R/nlm_mosaicgibbs.R
nlm_mosaicgibbs | R Documentation |
Simulate a neutral landscape model using the Gibbs algorithm introduced in Gaucherel (2008).
nlm_mosaicgibbs( ncol, nrow, resolution = 1, germs, R, patch_classes, rescale = TRUE )
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nlm_mosaicgibbs
offers the second option of simulating a neutral landscape model
described in Gaucherel (2008).
The method works in principal like the tessellation method (nlm_mosaictess
),
but instead of a random point pattern the algorithm fits a simulated realization of the Strauss
process. The Strauss process starts with a given number of points and
uses a minimization approach to fit a point pattern with a given interaction
parameter (0 - hardcore process; 1 - Poisson process) and interaction radius
(distance of points/germs being apart).
RasterLayer
Gaucherel, C. (2008) Neutral models for polygonal landscapes with linear networks. Ecological Modelling, 219, 39 - 48.
# simulate polygonal landscapes mosaicgibbs <- nlm_mosaicgibbs(ncol = 40, nrow = 30, germs = 20, R = 0.02, patch_classes = 12) ## Not run: # visualize the NLM landscapetools::show_landscape(mosaicgibbs) ## End(Not run)
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