Hi Nikos, I think this would be a perfect question for gis.stackexchange.com
A manual approach (135 stations is not that much) would be to decide on a maximum distance between stations (depends on your analysis requirements I guess) and then buffer the station points accordingly. You can then manually remove points with redundant/overlapping geographic coverage. But I'm sure there are better solutions :) Best wishes, Anita On Tue, Jan 25, 2011 at 12:09 PM, nikos <[email protected]> wrote: > 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 > > _______________________________________________ > Qgis-user mailing list > [email protected] > http://lists.osgeo.org/mailman/listinfo/qgis-user >
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