i would think topography and other climatic variables would be at least as important as spatial statistical factors! 

Lee De Cola, PhD, MCP. 
DATA to Insight 
LDECOLA@COMCAST.NET 
Reston, Virginia 
571 315 0577 mobile 
703 709 6972 home & fax 


----- Original Message ----- 
From: "nikos" <vesnikos@gmail.com> 
To: r-sig-geo@r-project.org 
Sent: Tuesday, January 25, 2011 7:18:59 AM 
Subject: [R-sig-Geo] How to Identify the best subdataset of a dataset of points which follow a canonical distribution ? 

[The kind folks of Qgis list, suggested to post in this list as well] 

Hello List, 


I have an interesting problem, and I'd really appreciate if you could 
give a couple insightful tips on how you'd solve the following: 

I want to order some meteo (rain mm/month for PSDI) data from my 
corresponding national agency, but in their infinitive wisdom they 
choose to place their weather stations in a pattern that follows 
anything but a canonical distribution. 

I know this because they sent me a shp file with all their 136 stations 
which are available to the general public - for a fee of couse. 

Now my problems arise on how I choose which possible combination of my 
dataset of stations correspond to a canonical distribution of the 
mainland - keeping the set of the stations to a minimum as with each 
station the cost goes up? 
I want to be as much efficient one can be using GIS technology ;) 


My initial thinking is to find a subdataset which have their voronoi 
polygons created with the same area. But im not so sure if thats the 
correct approach 

Any tips on how to solve this problem is greatly appreciated! 




Ves Nikos 

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