The original spatstat package has been split into
several sub-packages.
This package spatstat.random is one of these packages.
It contains the functions for
-
generating random spatial patterns of points according to many simple rules (complete spatial randomness, binomial process, random grid, systematic random, stratified random, simple sequential inhibition, cell process),
-
randomised alteration of patterns (thinning, random shift, jittering),
-
generating simulated realisations of spatial point processes (Poisson processes, Matern inhibition models, Matern cluster processes, Neyman-Scott cluster processes, log-Gaussian Cox processes, product shot noise cluster processes, Gibbs point processes)
-
generating simulated realisations of Gibbs point processes (Metropolis-Hastings birth-death-shift algorithm; perfect simulation/ dominated coupling from the past; alternating Gibbs sampler)
-
generating random spatial patterns of line segments
-
generating random tessellations
-
generating random images (random noise, random mosaics).
Exceptions:
-
generation of determinantal point processes is provided in
spatstat.model -
generation of quasi-random patterns is provided in
spatstat.geom
The reorganisation of spatstat into a family of packages is described
on the GitHub repository
spatstat/spatstat.