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Sub-package of spatstat containing functions for random generation

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spatstat.random

Random Generation and Simulation for the spatstat family

CRAN_Status_Badge GitHub R package version

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, Poisson, binomial, random grid, systematic, cell),

  • randomised alteration of patterns (thinning, random shift, jittering),

  • simulated realisations of random point processes (simple sequential inhibition, Matern inhibition models, Matern cluster process, Neyman-Scott cluster processes, log-Gaussian Cox processes, product shot noise cluster processes)

  • simulation 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).

The reorganisation of spatstat into a family of packages is described on the GitHub repository spatstat/spatstat.