Hi Ulrich,
AFAIK the algorithm to calculate the hydrological distance is actually
r.stream.distance.
Hope this helps
Margherita
Date: Tue, 17 Nov 2009 10:52:45 +0100 From: Ulrich Leopold
<ulrich.leop...@tudor.lu> Subject: [GRASS-user] Spatial interpolation of
river network observations To: R-sig-geo list
<r-sig-...@stat.math.ethz.ch>, grass-user@lists.osgeo.org Message-ID:
<4b02726d.4050...@tudor.lu> Content-Type: text/plain; charset="iso-8859-1"
Dear all,
I would like to interpolate 17 pollution observations in a storage lake
in 3 dimensions (x,y,z).
As I understand variogram analysis and kriging are not straightforward
as we are dealing with non-euclidean (hydrologic) distances and
down-stream direction.
Could someone point me to some algorithms which can roughly estimate the
3d pollution body accounting for hydrologic distances?
--
Eng. Margherita Di Leo
Ph.D. Candidate
Methods and Technologies for Environmental Monitoring
Department of Environmental Engineering and Physics (DIFA)
University of Basilicata
Campus Macchia Romana
85100 - Potenza
Italy
Office: +39-0971205363
Fax: +39-0971205160
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