\name{rMaternII}
\alias{rMaternII}
\title{Simulate Matern Model II}
\description{
Generate a random point pattern, a simulated realisation of the
Mat\'ern Model II inhibition process.
}
\usage{
rMaternII(kappa, r, win = owin(c(0,1),c(0,1)))
}
\arguments{
\item{kappa}{
Intensity of the Poisson process of proposal points.
A single positive number.
}
\item{r}{
Inhibition distance.
}
\item{win}{
Window in which to simulate the pattern.
An object of class \code{"owin"}
or something acceptable to \code{\link{as.owin}}.
}
}
\value{
The simulated point pattern (an object of class \code{"ppp"}).
}
\details{
This algorithm generates a realisation of Mat\'ern's Model II
inhibition process
inside the window \code{win}.
The process is constructed by first
generating a uniform Poisson point process of ``proposal'' points
with intensity \code{kappa} inside the window.
Then each proposal point is marked by an ``arrival time'', a number
uniformly distributed in \eqn{[0,1]} independently of other variables.
A proposal point is deleted if it lies within \code{r} units' distance
of another proposal point \emph{that has an earlier arrival time}.
Otherwise it is retained.
The retained points constitute Mat\'ern's Model II.
The difference between Mat\'ern's Model I and II is the italicised
statement above. Model II has a higher intensity
for the same parameter values.
}
\seealso{
\code{\link{rpoispp}},
\code{\link{rMatClust}},
\code{\link{rMaternI}}
}
\examples{
pp <- rMaternII(20, 0.05)
}
\author{Adrian Baddeley
\email{adrian@maths.uwa.edu.au}
\url{http://www.maths.uwa.edu.au/~adrian/}
and Rolf Turner
\email{r.turner@auckland.ac.nz}
}
\keyword{spatial}
\keyword{datagen}