Hello,
another idea, unfortunately no solution, would be to ask at the
r-sig-geo Mailinglist[1] - a list on the statistic-package R, which can
be used directly in QGIS via the ManageR-Plugin...if you know a little
bit of statistics and R... but could also be a little bit of overdoing
if you have never worked with R before...
Maybe an idea...
Albin
[1]
[email protected]
https://stat.ethz.ch/mailman/listinfo/r-sig-geo
Am 25.01.2011 12:52, schrieb Anita Graser:
Hi Nikos,
I think this would be a perfect question for gis.stackexchange.com
<http://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]
<mailto:[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
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