[R-sig-Geo] Grouping point clouds into polygons

[baptiste auguie]

Hi,

If I understand your question properly, I would suggest the following approach.

- Obtain a Voronoi tesselation from the set of points
- merge the resulting polygons according to your clustering method

Best,

baptiste

PS: it seems a similar suggestion has just been sent..

On 14 July 2011 18:42, Patrick S <sewellpatrick at gmail.com> wrote:
> 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
>
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>
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