miplot(X, ...)
"ppp"
) or something
acceptable to as.ppp
.MI
should be approximately
equal to 1. Values of MI
greater than 1 suggest clustering. The Morishita Index plot is a plot of the Morishita Index
MI
against the linear dimension of the quadrats.
The point pattern dataset is divided into $2 \times 2$
quadrats, then $3 \times 3$ 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.
quadratcount
data(longleaf)
miplot(longleaf)
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