simulate.kppm: Simulate a Fitted Cluster Point Process Model
Description
Generates simulated realisations from a fitted cluster point process model.
Usage
## S3 method for class 'kppm':
simulate(object, nsim = 1, seed=NULL, ...)
Arguments
object
Fitted cluster point process model. An object of class "kppm".
nsim
Number of simulated realisations.
seed
an object specifying whether and how to initialise
the random number generator. Either NULL or an integer that will
be used in a call to set.seed before simulating the
point p
...
Ignored.
Value
A list of length nsim containing simulated point patterns
(objects of class "ppp").
The return value also carries an attribute "seed" that
captures the initial state of the random number generator.
See Details.
Details
This function is a method for the generic function
simulate for the class "kppm" of fitted
cluster point process models.
Simulations are performed by rThomas
or rMatClust depending on the cluster mechanism.
The return value is a list of point patterns.
It also carries an attribute "seed" that
captures the initial state of the random number generator.
This follows the convention used in
simulate.lm (see simulate).
It can be used to force a sequence of simulations to be
repeated exactly, as shown in the examples for simulate.