Hi Thomas,
 
I am assuming that you transform your data before conducting
your (sequential?) Gaussian simulation. In this case, the backtransform
would yield only positive values, assuming of course that like S-GeMS Gstat
asks the user to specify the minimum and maximum of the target histogram.
 
Regards,
 
Pierre
 
Pierre Goovaerts
Chief Scientist at BioMedware Inc.
Courtesy Associate Professor, University of Florida
President of PGeostat LLC
 
Office address: 
516 North State Street
Ann Arbor, MI 48104
Voice: (734) 913-1098 (ext. 8)
Fax: (734) 913-2201 
http://home.comcast.net/~goovaerts/ 

________________________________

From: [EMAIL PROTECTED] on behalf of Thomas Adams
Sent: Tue 7/25/2006 2:40 PM
To: ai-geostats@jrc.it
Subject: AI-GEOSTATS: geostatistical simulation questions



List:

I am interested in doing some geostatistical simulations using GSTAT and
have some theoretical questions.

I am attempting to model hourly rainfall accumulations over a large
region, so there will almost always be zero rainfall somewhere. I can
generate random fields of precipitation, using both conditional and
unconditional simulations using GSTAT. However, I get negative values as
well as (mostly) positive values. The simulated fields otherwise look
very reasonable. The data I used (and must use) to estimate my variogram
has zero values where no rainfall occurs. What does this suggest to you?
I am using gaussian simulation.

I have seen some references to more exotic geostatistcal simulation
methods using bayesian or some other methods. Is this what I need?

 From reading the literature, I have seen that some researchers have
successfully used indicator kriging and simulation. With GSTAT I can
successfully do simulations using 'method : is' rather than 'method :
gs',  how using GSTAT do I model a continuous (non-binary) variable
using the GSTAT syntax?

Regards to all,
Tom

--
Thomas E Adams
National Weather Service
Ohio River Forecast Center
1901 South State Route 134
Wilmington, OH 45177

EMAIL:  [EMAIL PROTECTED]

VOICE:  937-383-0528
FAX:    937-383-0033

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