\name{as.linnet.linim}
\alias{as.linnet.lpp}
\alias{as.linnet.linim}
\alias{as.linnet.linfun}
\alias{as.linnet.lintess}
\title{
Extract Linear Network from Data on a Linear Network
}
\description{
Given some kind of data on a linear network,
the command \code{as.linnet} extracts the linear network itself.
}
\usage{
\method{as.linnet}{linim}(X, \dots)
\method{as.linnet}{linfun}(X, \dots)
\method{as.linnet}{lintess}(X, \dots)
\method{as.linnet}{lpp}(X, \dots, fatal=TRUE, sparse)
}
\arguments{
\item{X}{
Data on a linear network.
A point pattern (class \code{"lpp"}),
pixel image (class \code{"linim"}), function (class
\code{"linfun"}) or tessellation (class \code{"lintess"})
on a linear network.
}
\item{\dots}{
Ignored.
}
\item{fatal}{
Logical value indicating whether data in the wrong format
should lead to an error (\code{fatal=TRUE}) or a warning
(\code{fatal=FALSE}).
}
\item{sparse}{
Logical value indicating whether to use a sparse matrix
representation, as explained in \code{\link{linnet}}.
Default is to keep the same representation as in \code{X}.
}
}
\details{
These are methods for the generic \code{\link{as.linnet}}
for various classes.
The network on which the data are defined is extracted.
}
\value{
A linear network (object of class \code{"linnet"}).
}
\author{
\spatstatAuthors.
}
\seealso{
\code{\link{linnet}},
\code{\link{methods.linnet}}.
}
\examples{
# make some data
xcoord <- linfun(function(x,y,seg,tp) { x }, simplenet)
as.linnet(xcoord)
X <- as.linim(xcoord)
as.linnet(X)
}
\keyword{spatial}
\keyword{manip}