AI-GEOSTATS: kriging and groundwater chemistry
- hello list,
i have the following question regarding kriging and groundwater
i'm a grad student in GIS and i've chosen a topic
dealing with the interpolation of parameters for groundwater
chemistry by kriging (approx 3000 observation wells). i got tons of
additional data (landuse, hydrology, geology, soil parameters,
DGM , etc.....) and i'm looking for a kriging technique supporting
additional information (qualitative: landuse and aquifers as well as
quantitative: certain soil paramters, infiltration rate, etc). at first i
was thinking about Bayes-Markov-Kriging and/ or Simple Updating-
Kriging and finally compare the results of these with the results of
simulation. now after almost three weeks of intensive literature
review (Bardossy (Simple Updating), Goovaerts (Simple with
varying mean, Cokriging), Pebesma (Ordinary block), Lehmann
(Bayes-Markov and others), etc.....all dealing with kriging of
groundwater chemistry supporting additional information or kriging
of other z-values supporting additional information) and playing
around with some programs checking out their suitability and
capabilities (GSTAT, GSLIB, VarioWin, Geostatistical Analyst for
ArcInfo 8.2, SURFER 8) I'm a little bit confused about the
appropriate kriging technique and the program(s) to accomplish
this task. ...............
as a first step I want to analyse the data to distinct "real" outliers
that have to be removed from areas with exceptional high values
that shouldn't be removed (rather find the (hydro)geological sources
for their existence). as the data comes in ESRI's shape format I
really appreciated the interactive capabilites when testing their
Geostatistical Analyst for ArcInfo 8.2 (histogram, qq-plots, voronoi,
trend analysis, etc.) in combination with Moving Windows statistics
in ArcView 3.x and CrimeStat for some summary statistics (Moran
the Geostat Analyst also offers an interactive environment for
finding a suitable model variogram based on the experimental one
as well as several kriging techniques and crossvalidation. I'm still
not sure if these would be sufficient (in this case I was thinking
about Cokriging to handle the additional information as done by
Goovaerts for precipitation). Has anyone out there some
experiences with the GA (and cokriging with the second variable
being influential groundwater chemistry determining factors)?
working with gstat under W2K (or Linux....i got both running) would
have the advantages of being able to import/ export ASCIIgrid from
ArcInfo (running under W2K, that's whay I installed the Windows
verision of Gstat too) and do the simulation for comparison.
as this is a MSc thesis (limited time) and I have to mainly focus
on how to combine the most influental factors on groundwater
chemistry as additional
information for kriging, i don't have the time to focus on writing or
adapting routines (especially when considering my rudimentary
programming skills). so i'm looking for (an) existing program(s) to
support my results (the aforementioned appropriate groundwater
chemistry determing factors) with examples... which kriging
technique(s) and simulation technique(s) would be appropriate?
which of the aforementioned porgrams would be the best ("best" for
allowing quantitive and qualitative additional information for the
chosen kriging technique) option?
many, many thanx in advance for any help and support.
p.s.: will write a summary
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