[Qgis-user] How to Identify the best subdataset of a dataset of points which follow a canonical distribution ?

[Anita Graser]

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 <vesnikos at gmail.com> 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
>
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