rgtp {binspp}

Simulation of generalized Thomas process

Description

Simulation of generalized Thomas process.

Usage

rgtp(
  kappa,
  omega,
  lambda,
  theta,
  win = owin(c(0, 1), c(0, 1)),
  nsim = 1,
  expand = 4 * omega
)

Arguments

kappa

intensity of cluster centers.

omega

standard deviation of normal distribution specifying the clusters spread.

lambda

parameter of generalised Poisson distribution controlling over or under dispersion.

theta

parameter of generalised Poisson distribution controlling the mean number of points in a cluster.

win

window in which to simulate the pattern. An object in the
spatstat.geom::owin() format of the spatstat package.

nsim

number of simulations.

expand

the size of expansion of window to simulate the centers of clusters.

Value

A list(X, C), where X is Generalized Thomas process, and C is Process of cluster centers for Generalized Thomas process.

Examples

library(spatstat)
kappa = 10
omega = .1
lambda= .5
theta = 10

X = rgtp(kappa, omega, lambda, theta, win = owin(c(0, 1), c(0, 1)))
plot(X$X)
plot(X$C)