bw.stoyan.Rd
\name{bw.stoyan}
\alias{bw.stoyan}
\title{
Stoyan's Rule of Thumb for Bandwidth Selection
}
\description{
Computes a rough estimate of the appropriate bandwidth
for kernel smoothing estimators of the pair correlation function
and other quantities.
}
\usage{
bw.stoyan(X, co=0.15)
}
\arguments{
\item{X}{
A point pattern (object of class \code{"ppp"}).
}
\item{co}{
Coefficient appearing in the rule of thumb. See Details.
}
}
\details{
Estimation of the pair correlation function and other quantities
by smoothing methods requires a choice of the smoothing bandwidth.
Stoyan and Stoyan (1995, equation (15.16), page 285) proposed a
rule of thumb for choosing the smoothing bandwidth.
For the Epanechnikov kernel, the rule of thumb is to set
the kernel's half-width \eqn{h} to
\eqn{0.15/\sqrt{\lambda}}{0.15/sqrt(lambda)} where
\eqn{\lambda}{lambda} is the estimated intensity of the point pattern,
typically computed as the number of points of \code{X} divided by the
area of the window containing \code{X}.
For a general kernel, the corresponding rule is to set the
standard deviation of the kernel to
\eqn{\sigma = 0.15/\sqrt{5\lambda}}{sigma = 0.15/sqrt(5 * lambda)}.
The coefficient \eqn{0.15} can be tweaked using the
argument \code{co}.
}
\value{
A numerical value giving the selected bandwidth (the standard
deviation of the smoothing kernel).
}
\seealso{
\code{\link{pcf}},
\code{\link{bw.relrisk}}
}
\examples{
data(shapley)
bw.stoyan(shapley)
}
\references{
Stoyan, D. and Stoyan, H. (1995)
Fractals, random shapes and point fields:
methods of geometrical statistics.
John Wiley and Sons.
}
\author{Adrian Baddeley
\email{Adrian.Baddeley@csiro.au}
\url{http://www.maths.uwa.edu.au/~adrian/}
and Rolf Turner
\email{r.turner@auckland.ac.nz}
}
\keyword{spatial}
\keyword{methods}
\keyword{smooth}