Kmodel.clusterprocess: K Function or Pair Correlation Function of a Cluster Process...
In spatstat.model: Parametric Statistical Modelling and Inference for the 'spatstat' Family

Kmodel.clusterprocess

R Documentation

K Function or Pair Correlation Function of a Cluster Process Model

Description

Returns the theoretical K function, L function or pair correlation function of a cluster point process model with specified values of its parameters.

Usage

 ## S3 method for class 'clusterprocess'
Kmodel(model, ...)

 ## S3 method for class 'clusterprocess'
Lmodel(model, ...)

 ## S3 method for class 'clusterprocess'
pcfmodel(model, ...)

Arguments

`model`	Object of class `"clusterprocess"`.
`...`	Arguments passed to other methods.

Details

For some point process models, it is possible to write down a mathematical expression for the K function or the pair correlation function of the model.

The commands Kmodel, Lmodel and pcfmodel are generic, with methods for the classes "kppm" (fitted cluster processes and Cox processes), "ppm" (fitted Gibbs processes), and "clusterprocess" (theoretical cluster processes).

This page documents the methods for the class "clusterprocess". An object of this class represents a Neyman-Scott-Cox cluster point process model with specified values of its parameters.

The return value is a function in the R language, which takes one argument r. Evaluation of this function, on a numeric vector r, yields values of the desired K function or pair correlation function at these distance values.

Value

A function in the R language, which takes one argument r.

Author(s)

\adrian

Examples

  m <- clusterprocess("Thomas", kappa=10, mu=5, scale=0.1)
  m2 <- clusterprocess("VarGamma", kappa=10, mu=10, scale=0.1, nu=0.7)
  m
  m2
  g <- pcfmodel(m)
  g(0.2)
  g2 <- pcfmodel(m2)
  g2(1)

spatstat.model documentation built on March 29, 2026, 9:07 a.m.