plot.dppm.Rd
\name{plot.dppm}
\alias{plot.dppm}
\title{Plot a fitted determinantal point process}
\description{
Plots a fitted determinantal point process model,
displaying the fitted intensity and the fitted summary function.
}
\usage{
\method{plot}{dppm}(x, ..., what=c("intensity", "statistic"))
}
\arguments{
\item{x}{
Fitted determinantal point process model.
An object of class \code{"dppm"}.
}
\item{\dots}{
Arguments passed to \code{\link{plot.ppm}}
and \code{\link{plot.fv}} to control the plot.
}
\item{what}{
Character vector determining what will be plotted.
}
}
\details{
This is a method for the generic function
\code{\link{plot}} for the class \code{"dppm"} of fitted
determinantal point process models.
The argument \code{x} should be a determinantal point process model
(object of class \code{"dppm"}) obtained using
the function \code{\link{dppm}}.
The choice of plots (and the order in which they are
displayed) is controlled by the argument \code{what}.
The options (partially matched) are \code{"intensity"} and
\code{"statistic"}.
This command is capable of producing two different plots:
\describe{
\item{what="intensity"}{specifies the fitted intensity of the model,
which is plotted using \code{\link{plot.ppm}}. By default this plot
is not produced for stationary models.}
\item{what="statistic"}{specifies the empirical and fitted summary
statistics, which are plotted using \code{\link{plot.fv}}. This is
only meaningful if the model has been fitted using the Method of
Minimum Contrast, and it is turned off otherwise.}
}
}
\value{
Null.
}
\examples{
fit <- dppm(swedishpines ~ x + y, dppGauss())
plot(fit)
}
\seealso{
\code{\link{dppm}},
\code{\link{plot.ppm}},
}
\author{\adrian
and \rolf
}
\keyword{spatial}
\keyword{models}