| Kmodel.kppm {spatstat.model} | R Documentation |
K Function or Pair Correlation Function of Cluster Model or Cox model
Description
Returns the theoretical K function or the pair correlation function
of a cluster point process model or Cox point process model.
Usage
## S3 method for class 'kppm'
Kmodel(model, ...)
## S3 method for class 'kppm'
pcfmodel(model, ...)
Arguments
model |
A fitted cluster point process model (object of
class |
... |
Ignored. |
Details
For certain types of point process models, it is possible to
write down a mathematical expression for the K function
or the pair correlation function of the model. In particular this
is possible for a fitted cluster point process model
(object of class "kppm" obtained from kppm).
The functions Kmodel and pcfmodel are generic.
The functions documented here are the methods for the class "kppm".
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 Baddeley Adrian.Baddeley@curtin.edu.au and Rolf Turner rolfturner@posteo.net
See Also
Kest or pcf
to estimate the K function or pair correlation function
nonparametrically from data.
kppm to fit cluster models.
Kmodel for the generic functions.
Kmodel.ppm for the method for Gibbs processes.
Examples
fit <- kppm(redwood, ~x, "MatClust")
K <- Kmodel(fit)
K(c(0.1, 0.2))
curve(K(x), from=0, to=0.25)