Intensity of the Poisson process of cluster centres.
A single positive number.
sigma
Standard deviation of displacement of a point from its cluster centre.
mu
Expected number of points per cluster.
win
Window in which to simulate the pattern.
An object of class "owin"
or something acceptable to as.owin.
Value
The simulated point pattern (an object of class "ppp").
Details
This algorithm generates a realisation of the
Thomas process, a special case of the Neyman-Scott process.
The algorithm
generates a uniform Poisson point process of ``parent'' points
with intensity lambda. Then each parent point is
replaced by a random cluster of points, the number of points
per cluster being Poisson (mu) distributed, and their
positions being isotropic Gaussian displacements from the
cluster parent location.