rgtp function

Simulation of generalized Thomas process

Simulation of generalized Thomas process.

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.

Returns

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)