Smooth.ssf.Rd
\name{Smooth.ssf}
\alias{Smooth.ssf}
\title{
Smooth a Spatially Sampled Function
}
\description{
Applies kernel smoothing to a spatially sampled function.
}
\usage{
\method{Smooth}{ssf}(X, \dots)
}
\arguments{
\item{X}{
Object of class \code{"ssf"}.
}
\item{\dots}{
Arguments passed to \code{\link[spatstat]{Smooth.ppp}}
to control the smoothing.
}
}
\details{
An object of class \code{"ssf"} represents a real-valued or
vector-valued function that has been evaluated or sampled at an
irregular set of points.
The function values will be smoothed using a Gaussian
kernel.
}
\value{
A pixel image or a list of pixel images.
}
\author{
\adrian.
}
\seealso{
\code{\link{ssf}},
\code{\link{Smooth.ppp}}
}
\examples{
f <- ssf(redwood, nndist(redwood))
Smooth(f, sigma=0.1)
}
\keyword{spatial}
\keyword{methods}
\keyword{smooth}