simulate.ppm: Simulate a Fitted Gibbs Point Process Model
Description
Generates simulated realisations from a fitted Gibbs or Poisson
point process model.
Usage
## S3 method for class 'ppm':
simulate(object, nsim=1, ...,
start = NULL,
control = default.rmhcontrol(object, expand=expand),
project=TRUE,
expand=NULL,
verbose=FALSE, progress=(nsim > 1))
Arguments
object
Fitted point process model.
An object of class "ppm".
nsim
Number of simulated realisations.
start
Data determining the initial state
of the Metropolis-Hastings algorithm. See
rmhstart for description of these arguments.
Defaults to list(x.start=data.ppm(model))
control
Data controlling the running of
the Metropolis-Hastings algorithm. See rmhcontrol
for description of these arguments.
...
Ignored.
project
Logical flag indicating what to do if the fitted model is
invalid (in the sense that the values of the fitted coefficients do not
specify a valid point process).
If project=TRUE the closest valid model will be simulated;
if
expand
Optional expansion factor for simulation window.
Defaults to 2.
verbose
Logical flag indicating whether to print progress reports
from rmh.ppm
during the simulation of each point pattern.
progress
Logical flag indicating whether to print progress reports
for the sequence of simulations.
Value
A list of length nsim containing simulated point patterns
(objects of class "ppp").
Details
This function is a method for the generic function
simulate for the class "ppm" of fitted
point process models.
Simulations are performed by rmh.ppm.