Hello
Thanks to all that give me some help on the cokriging (Tom, Donald, Susan
and Tomislav). By reading Goovaerts (hello thanks for your course in
Lisbon last November) paper on precipitation estimation including
elevation, I notice that cokriging presents smooth surfaces, but I think
this
To my question on the use of rodograms I got the two following references:
Paul Harris gave me the following:
Journel A. 1988. +IBw-New distance measures: the route toward truly non-gaussian
geostatistics+IB0, mathematical geology vol 20 no 4.
Pierre Goovaerts mentioned at paper presented at
Sorry for this re-posting, but a few signs have been improperly converted
in my text editor. Here it is again.
+++
To my question on the use of rodograms I got the two following references:
Paul Harris gave me the following:
Journel
Dear All
Here is a call for abstracts for a special session at the forthcoming
GeoComputation'03 conference to be held on 8-10 September 2003 in
Southampton, UK. I hope that this is of interest to some of you.
With best wishes
Peter
Spatially Distributed Modelling of Land Surface Processes
A
Hello,
It is my experience that, for a given data set,
the impact of secondary information is usually
more pronounced when using KED (kriging with
external drift) or SKLM (simple kriging with
local means) instead of cokriging.
Several factors will control the relative influence of
secondary
Gregoire,
I believe I borrowed the term large-scale structure
from the 1992 Gslib user's manual, note that the
rodogram is not an option in the lastest release of Gslib.
The terminology might be misleading since we mean
features on the horizontal semivariogram axis (like range)
as opposed to
