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
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
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
Hello,
in first approch you can compute the general mean of your observations
and select only stations with rain mesureaments failing inside a
determinated tolerance around that mean. Another common use would be
to randomly remove some stations and look at the resulting variance
against the
Hi Lionel,
Those are good approaches.
I think the problem is that Nikos doesn't have any measurement data yet
(because he has to pay for every single station). So in this case, I don't
think these methods can be used.
Best wishes,
Anita
On Tue, Jan 25, 2011 at 2:39 PM, Lionel Roubeyrie
Sorry for the mistake, I didn't read carrefully. Without observations,
it will be hard to extract some relevant informations on just
geographical situations (distances matrix?), unless you can work with
others datas (wind speeds and directions, ...) and correlate them with
rainfalls.
2011/1/25
