This is more of a theoretical question than an R-specific question, but does
anyone have any suggestions for grouping clouds of points into polygons
representing clusters?

I have a spatial data set with points for each commercial land use in
Atlanta along with the square footage. I would like to cluster these, using
K-means probably, and then I would like to draw polygons around them so that
all of space is filled. So I don't want alpha hulls, because I don't want
gaps between polygons. Rather I want the space between the polygons to be
assigned to the adjacent cluster with the strongest "pull" in terms of
square footage.

Any thoughts?

Patrick Sewell

	[[alternative HTML version deleted]]

