Look at
knearneigh in spdep
Once you figured out the neighbours, you may be able to an algorithm
to efficiently partition the dataset.
Nikhil Kaza
Asst. Professor,
City and Regional Planning
University of North Carolina
nikhil.l...@gmail.com
On Aug 26, 2010, at 8:50 AM, Sven Schmiedel wrote:
Dear list,
I have the following problem: I have around 1,000,000 addresses of a
country and want now to split the area in artificial "administrative
units" with exactly 1,000 addresses per unit.
As I did not find a direct way to do this, my idea was to chose
randomly 1,000 addresses, use the voronoi tessellation (from library
PBSmapping) for these and look how many addresses are found in each
piece this mosaic. However, the result is not stable and the number
of addresses varies quite a lot from unit to unit.
Hence, I would like to know if there is a procedure/package that is
incorporating a function that is able to do this splitting with a
fixed number of addresses. If anyone has another program or an
methodological approach to this problem I would be happy about this
information.
Best wishes,
Sven Schmiedel
______________
PhD student, MSE in Epidemiology
Institute of Cancer Epidemiology
Danish Cancer Society
Copenhagen,
Denmark
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