Maurizio,

a suggestion in order to use field-based geostatistics is that you define a
conceptual variable X(s), where s=(s1,s2)  is the location, representing the
density of industries per using area.  Then convert your data points to
density values for some aggregation areas of your choice (these aggregation
areas can be counties, departements, etc.).  Then you can perform a
geostatistical analysis of your density data.

Note that this approach involves the appreciation of the spatial scale you
are using (i.e. the size of the aggregation area you have selected).  This
is sometimes referred to as change of support in Geostatistics, the
modifiable area unit problem (MAUP) for geographers and GIS applications, or
the multiscale approach for the Bayesian Maximum Entropy (BME) theory.  I
can give you some reference to the latter if you wish.

If you have access to MATLAB I can suggest the BMElib geostatistical package
for analysis of space/time data ( http://www.unc.edu/depts/case/BMELIB/ ).

Cheers,
Marc


Marc Serre, PhD
Assistant Professor
Center for the Advanced Study of the Environment (CASE)
Department of Environmental Sciences and Engineering (DESE)
The University of North Carolina at Chapel Hill
CB 7431, 104 Rosenau Hall
Chapel Hill, NC 27599-7431, USA
e-mail: [EMAIL PROTECTED]
phone: 919-966-1173 / 7014
fax: 919-966-7911
homepage:  http://www.unc.edu/~mserre/ESEhome.html
BMElib: http://www.unc.edu/depts/case/BMELIB/
Temporal GIS book: http://www.unc.edu/depts/case/BMELIB/TGISflyer2.htm



----- Original Message -----
From: "Maurizio Trevisani" <[EMAIL PROTECTED]>
To: <[EMAIL PROTECTED]>
Sent: Friday, August 16, 2002 6:51 AM
Subject: AI-GEOSTATS: Analysis of the distribution of points



Could you give some URL to find documentation about ways to perform a sort
of
clustering of my geogrpahical data?
I have several points (X,Y coords) corresponding to industries which produce
wastes.
I have, for each industry, a code corresponding to the type of industry,
then
several codes corresponding to the types of waste produced, with the
corresponding quantity in tons.
The number of such points is about 30.000, corresponding to about 120.000
combination industry-code of type of waste produced (each year). These
industries are georeferenced, and I would like to explicitate the
distribution
of the type of industries and of the type of waste produced all over the
country, recognizing significative groupings of such data.
I think I could explore such data by means of geostatistical analysis and
clustering techniques.
Thank you,
Maurizio Trevisani

********************************************************************
Maurizio Trevisani
Sistema Informativo Ambientale della Regione Toscana - SIRA
Agenzia per la Protezione dell'Ambiente della Toscana - ARPAT


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