https://github.com/cran/spatstat
Tip revision: 1b6f7ce253524f978d8945645a567ffe709bf90a authored by Adrian Baddeley on 13 October 2016, 01:00:59 UTC
version 1.47-0
version 1.47-0
Tip revision: 1b6f7ce
Kmodel.Rd
\name{Kmodel}
\alias{Kmodel}
\alias{pcfmodel}
\title{K Function or Pair Correlation Function of a Point Process Model}
\description{
Returns the theoretical \eqn{K} function or the pair correlation function
of a point process model.
}
\usage{
Kmodel(model, \dots)
pcfmodel(model, \dots)
}
\arguments{
\item{model}{
A fitted point process model of some kind.
}
\item{\dots}{
Ignored.
}
}
\value{
A \code{function} in the \R language,
which takes one argument \code{r}.
}
\details{
For certain types of point process models, it is possible to
write down a mathematical expression for the \eqn{K} function
or the pair correlation function of the model.
The functions \code{Kmodel} and \code{pcfmodel} give the
theoretical \eqn{K}-function and the theoretical pair correlation
function for a point process model that has been fitted to data.
The functions \code{Kmodel} and \code{pcfmodel} are generic,
with methods for the classes \code{"kppm"} (cluster processes
and Cox processes) and \code{"ppm"} (Gibbs processes).
The return value is a \code{function} in the \R language,
which takes one argument \code{r}.
Evaluation of this function, on a numeric vector \code{r},
yields values of the desired \eqn{K} function or pair correlation
function at these distance values.
}
\seealso{
\code{\link{Kest}} or \code{\link{pcf}}
to estimate the \eqn{K} function or pair correlation function
nonparametrically from data.
\code{\link{Kmodel.kppm}} for the method for cluster processes
and Cox processes.
\code{\link{Kmodel.ppm}} for the method for Gibbs processes.
}
\author{\adrian
and \rolf
}
\keyword{spatial}
\keyword{models}