[R-sig-Geo] Spatially Constrained Clustering
Gavin Simpson
gavin.simpson at ucl.ac.uk
Tue Jan 15 09:07:20 CET 2008
Carson,
If you don't get any other firm answers, take a look at this work in
progress of Steve Juggins:
http://www.campus.ncl.ac.uk/staff/Stephen.Juggins/analysis.htm
He hacked the source of hclust (and the underlying Fortran) to do
constrained clustering using hclust's methods. This was for a single
constraint so we can keep samples in time together, but I'm sure by
studying the code, if you know Fortran (and I don't) and compare the
minor changes Steve made to the code for hclust, you might be able to
hack it to do what you want.
HTH
G
On Mon, 2008-01-14 at 15:42 -0800, Carson Farmer wrote:
> Hello List,
>
> I am trying to find an R package that will accommodate spatially
> constrained clustering. While I have been unable to find a package that
> is explicitly designed to do spatially constrained clustering, I was
> wondering if anyone had found a package that would do constrained
> clustering of any kind, and adapted this to spatial constraints?
> I have searched the R site extensively, and googled all night long, but
> to no avail! I HAVE found this post:
> http://finzi.psych.upenn.edu/R/Rhelp02a/archive/56819.html
> but the replies did not help much. They lead to several packages which
> perform spatial clustering (such that significant clusters of say a
> disease are located within a study region), however, what I would like
> to do is partition a spatial (grid) dataset based on multiple variables,
> taking into account their spatial locations (i.e. clustering is based on
> the variables, but constrained so that clusters are spatially
> contiguous). I'm thinking mclust is probably the best way to go, but
> I'm not sure where to start.
>
> Any suggestions would be greatly appreciated.
>
> Thanks,
>
> Carson
>
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Dr. Gavin Simpson [t] +44 (0)20 7679 0522
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