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\name{RMpolygon}
\alias{RMpolygon}
\title{RMpolygon}
\description{
\command{RMpolygon} refers to the indicator function of
a typical Poisson polygon, used for instance in the
(mixed) Storm process.
}
\usage{
RMpolygon(lambda)
}
\arguments{
\item{lambda}{
intensity of the hyperplane process creating the random shape function.
The default value is \code{1}.
}
}
\seealso{
\command{\link{RMball}},
\command{\link{RMspheric}},
\command{\link{RFsimulate}},
\command{\link{RMmodel}}.
}
\author{
Felix Ballani,
\url{https://tu-freiberg.de/fakult1/sto/ballani}
\martin
}
\references{
Poisson polygons / Poisson hyperplane tessellation
\itemize{
\item Lantuejoul, C. (2002)
\emph{Geostatistical Simulation: Models and Algorithms.}
Springer.
}
Poisson storm process
\itemize{
\item Lantuejoul, C., Bacro, J.N., Bel L. (2011)
Storm processes and stochastic geometry. \emph{Extremes},
\bold{14}(4), 413-428.
}
Mixed Poisson storm process
\itemize{
\item Strokorb, K., Ballani, F., and Schlather, M. (2014)
Tail correlation functions of max-stable processes: Construction
principles, recovery and diversity of some mixing max-stable
processes with identical TCF.
\emph{Extremes}, \bold{} Submitted.
}
}
\keyword{spatial}
\examples{\dontshow{StartExample()}
RFoptions(seed=0) ## *ANY* simulation will have the random seed 0; set
## RFoptions(seed=NA) to make them all random again
\dontshow{\dontrun{
model <- RPcoins(shape=RMpolygon())
x <- seq(0, 10, 0.02)
plot(RFsimulate(model, x=x))
}}
\dontshow{FinalizeExample()}}
|
