README.md

In spatstat/spatstat.random: Random Generation Functionality for the 'spatstat' Family

spatstat.random

Random Generation and Simulation for the spatstat family

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.

spatstat/spatstat.random documentation built on June 12, 2025, 11:55 p.m.