Title: Message
-Original Message-From: Gregoire Dubois
[mailto:[EMAIL PROTECTED] Sent: 02 September 2004
09:42To: [EMAIL PROTECTED]Cc:
[EMAIL PROTECTED]Subject: Re: spatial
relationships
Hi Mark,
re-reading Isobel's mail, I thought about a proviso
on the proviso. I personally do
Thisa reminds me of a site where the failure of variogram modeling actually told me
quite a bit about the problem at hand. It was a large field where dumptruck loads of
soil with a contaminant had been dumped randomly and spread. This was unknown until
after a gridded set of samples had been
I would agree with Gregoire's assessment.
The presence of a global trend does not prohibit the use of geostatistics.
As illustrated in the following paper by Journel and Rossi:
Journel, A.G. and M.E. Rossi. 1989. When do we need a trend model
in kriging? Mathematical Geology, 21(7):715--739.
On 02-Sep-04 Glover, Tim wrote:
Thisa reminds me of a site where the failure of variogram modeling
actually told me quite a bit about the problem at hand. It was a large
field where dumptruck loads of soil with a contaminant had been dumped
randomly and spread. This was unknown until after a
Dear oh Dear, I am failing to communicate (again).
As far as I know, I didn't say you could not use
geostatistics when a trend is present! I regularly use
Universal Kriging for data with a trend and kriging
with an external drift when the trend is governed by
an outside factor (see free tutorial
Hello All,
Im not sure if this is the correct forum for thisbut
a colleague has asked a question Id like to address.
This fellow wants to predict the location of archaeological
sites based on factors such as soil type, proximity to a water source, slope,
AND proximity to other
Some random remarks that went through my single braincell:
I would focus on the physical environment to predict the locations, but
it depends on what you call an archeological site.
A part of the place where a settlement would be created, could be
explained by the distance from the surrounding
Kevin
Sounds like an ideal case for Geographically Weighted
Regression.
You could use semi-variograms or spatial
auto-correlation to determine exactly how proximity
defines relationship. My only current beef with GWR is
the seemingly pre-defined distance weighting
functions. Not had much time
Hello, Kevin !
Predictive interpolation is a very interesting field.
You may be interested in GIS applications based on Dempster-Shafer Theory.
There are some online material also linked to archeology and prediction of
archaeological sites at http://gis.esri
You might look at the following series of papers:
http://www.nceas.ucsb.edu/~liebhold/ecography/
While the papers are written with an ecological focus, settling is
settling is settling.
Hope they help...
Steve
Isobel Clark wrote:
Kevin
Sounds like an ideal case for Geographically Weighted
Hello Kevin
You may like to speak to David Hansen a GIS Specialist/ Soil Scientist at
the USGS in Sacramento - [EMAIL PROTECTED]
He has a good paper Describing GIS Applications: Spatial Statistics and
Weights of Evidence Extension to ArcView in the Analysis of the
distribution of
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