Craig - I'm not an expert with geostatistics and related software,
but here are a couple of general principals to consider:
1) In statistical experimental design design, the greatest
improvement in estimates are achieved by adding points at the
locations with the most uncertainty.
2) Define your optimization carefully. Instead of minimization a
simple sum of squares, weight locations in terms of their
contribution to flooding. A hydrological model can be helpful in
defining this - using soil type maps and local slopes computed from
digital elevation data.
Chris
Hi All,
I have an interesting problem to solve, I hope
someone could help me.
We are working on flood early warning in Somalia
and we have the following situation.
We have an existing network of manual rain gauges
that we receive on a monthly basis with daily
readings taken manually by a person in the field.
These however can be unreliable.
We have an option to install automatic rain gauges
that would give us an accurate measurement of
rainfall per day. We would like to use
geo-statistics to then give a prediction and error
surface and then use these surfaces to evaluate how
accurate and reliable our existing manual network
is.
Is there a way to calculate the optimal network
(number and location) for the automatic stations so
that we get a reliable prediction surface which we
can then use to evaluate our manual network?
I am the most familiar with the ArcGIS GeoStatistical
Analyst.
Thanks and regards
Craig
Craig von Hagen
FAO - GLCN/Africover/SWALIM Projects
PO Box 30470-00100
Nairobi, Kenya
Tel: +254 20 444 3331
Fax: +254 20 444 1993
www.africover.org
www.glcn.org; www.glcn-lccs.org
www.faoswalim.org
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