rpoislpp.Rd
\name{rpoislpp}
\alias{rpoislpp}
\title{
Poisson Point Process on a Linear Network
}
\description{
Generates a realisation of the Poisson point process
with specified intensity on the given linear network.
}
\usage{
rpoislpp(lambda, L, ...)
}
\arguments{
\item{lambda}{
Intensity of the Poisson process.
A single number, a \code{function(x,y)}, or a pixel image
(object of class \code{"im"}).
}
\item{L}{
A linear network (object of class \code{"linnet"},
see \code{\link{linnet}}).
}
\item{\dots}{
Arguments passed to \code{\link{rpoisppOnLines}}.
}
}
\details{
This function uses \code{\link{rpoisppOnLines}}
to generate the random points.
}
\value{
A point pattern on the linear network,
i.e.\ an object of class \code{"lpp"}.
}
\author{
Ang Qi Wei \email{aqw07398@hotmail.com} and
Adrian Baddeley \email{Adrian.Baddeley@csiro.au}
\url{http://www.maths.uwa.edu.au/~adrian/}
}
\seealso{
\code{\link{runiflpp}},
\code{\link{lpp}},
\code{\link{linnet}}
}
\examples{
data(simplenet)
X <- rpoislpp(5, simplenet)
plot(X)
}
\keyword{spatial}
\keyword{datagen}