Generates the mark-mark scatter plot of a point pattern.
markmarkscatter(X, rmax, …, col = NULL, symap = NULL, transform=I, jit=FALSE)A point pattern (object of class "ppp", "pp3",
"lpp" or "ppx") with numeric marks.
Maximum distance between pairs of points which contribute to the plot.
Additional arguments passed to plot.ppp to
control the scatterplot.
Optional. A function which should be applied to the mark values.
Logical value indicating whether mark values should be randomly
perturbed using jitter.
Optional. A vector of colour values, or a colourmap
to be used to portray the pairwise distance values. Ignored
if symap is given.
Optional. A symbolmap to be used to
portray the pairwise distance values. Overrides col.
Null.
The mark-mark scatter plot (Ballani et al, 2019) is a
scatterplot of the mark values of all pairs of distinct points in X
which are closer than the distance rmax.
The dots in the scatterplot are coloured according to the
pairwise distance between the two spatial points.
The plot is augmented by three curves explained by
Ballani et al (2019).
If the marks only take a few different values, then
it is usually appropriate to apply random perturbation (jitter)
to the mark values, by setting jit=TRUE.
Ballani, F., Pommerening, A. and Stoyan, D. (2019) Mark-mark scatterplots improve pattern analysis in spatial plant ecology. Ecological Informatics 49, 13--21.
# NOT RUN {
markmarkscatter(longleaf, 10)
markmarkscatter(spruces, 10, jit=TRUE)
# }
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