sim_nsprocess: Simulation of the Neyman-Scott process.

In highriskzone: Determining and Evaluating High-Risk Zones

Simulation of the Neyman-Scott process.

Description

Simulation of the Neyman-Scott process. Only applicable if the intensity was estimated for an appropriately enlarged window. More details in sim_nsppp.

Usage

sim_nsprocess(ppdata, intens, radius, clustering = 5, thinning = 0)

Arguments

ppdata	observed point pattern whose estimated intensity (adjusted for thinning and divided by "clustering") is used for simulating the parent process
intens	estimated intensity
radius	radius of the circles around the parent points in which the cluster points are located (Maximum radius of a random cluster)
clustering	a value larger or equal 1 which describes the amount of clustering; the adjusted estimated intensity of the observed pattern is divided by this value; it is also the parameter of the Poisson distribution for the number of points per cluster
thinning	constant thinning probability (in case the observed pattern is a thinned version of a full pattern); usually equal to the probability of having unobserved events

Value

The simulated point pattern (an object of class "ppp"). Additionally, some intermediate results of the simulation are returned as attributes of this point pattern: see rNeymanScott.

highriskzone documentation built on Aug. 29, 2023, 5:10 p.m.