miplot.Rd
\name{miplot}
\alias{miplot}
\title{Morishita Index Plot}
\description{
Displays the Morishita Index Plot of a spatial point pattern.
}
\usage{
miplot(X, ...)
}
\arguments{
\item{X}{
A point pattern (object of class \code{"ppp"}) or something
acceptable to \code{\link{as.ppp}}.
}
\item{\dots}{Optional arguments to control the appearance of the plot.}
}
\details{
Morishita (1959) defined an index of spatial aggregation for a spatial
point pattern based on quadrat counts. The spatial domain of the point
pattern is first divided into \eqn{Q} subsets (quadrats) of equal size and
shape. The numbers of points falling in each quadrat are counted.
Then the Morishita Index is computed as
\deqn{
\mbox{MI} = Q \frac{\sum_{i=1}^Q n_i (n_i - 1)}{N(N-1)}
}{
MI = Q * sum(n[i] (n[i]-1))/(N(N-1))
}
where \eqn{n_i}{n[i]} is the number of points falling in the \eqn{i}-th
quadrat, and \eqn{N} is the total number of points.
If the pattern is completely random, \code{MI} should be approximately
equal to 1. Values of \code{MI} greater than 1 suggest clustering.
The \emph{Morishita Index plot} is a plot of the Morishita Index
\code{MI} against the linear dimension of the quadrats.
The point pattern dataset is divided into \eqn{2 \times 2}{2 * 2}
quadrats, then \eqn{3 \times 3}{3 * 3} quadrats, etc, and the
Morishita Index is computed each time. This plot is an attempt to
discern different scales of dependence in the point pattern data.
}
\value{
None.
}
\references{
M. Morishita (1959) Measuring of the dispersion of individuals and
analysis of the distributional patterns.
Memoir of the Faculty of Science, Series E2, Kyushu University.
Pages 215--235.
}
\seealso{
\code{\link{quadratcount}}
}
\examples{
data(longleaf)
miplot(longleaf)
opa <- par(mfrow=c(2,3))
data(cells)
data(japanesepines)
data(redwood)
plot(cells)
plot(japanesepines)
plot(redwood)
miplot(cells)
miplot(japanesepines)
miplot(redwood)
par(opa)
}
\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{nonparametric}