[GRASS-user] How to Identify the best subdataset of a dataset of
points which follow a canonical distribution ?
vesnikos at gmail.com
Tue Jan 25 06:09:43 EST 2011
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
Any tips on how to solve this problem is greatly appreciated!
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