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spatstat.random (version 3.3-3)

clusterkernel: Extract Cluster Offspring Kernel

Description

Given a cluster point process model, this command returns the probability density of the cluster offspring.

Usage

clusterkernel(model, ...)
# S3 method for character
clusterkernel(model, ...)

Value

A function in the R language with arguments x,y,....

Arguments

model

Cluster model. Either a fitted cluster or Cox model (object of class "kppm"), or a character string specifying the type of cluster model.

...

Parameter values for the model, when model is a character string.

Author

Adrian Baddeley Adrian.Baddeley@curtin.edu.au, Rolf Turner rolfturner@posteo.net and Ege Rubak rubak@math.aau.dk.

Details

Given a specification of a cluster point process model, this command returns a function(x,y) giving the two-dimensional probability density of the cluster offspring points assuming a cluster parent located at the origin.

The function clusterkernel is generic, with methods for class "character" (described here) and "kppm" (described in clusterkernel.kppm).

See Also

clusterkernel.kppm), clusterfield, kppm.

Examples

Run this code
  f <- clusterkernel("Thomas", kappa=10, scale=0.5)
  f(0.1, 0.2)

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