Hi Kim,
 
You should expect that the simulated categorical maps are less smooth
than the maps of probabilities of occurrence generated by indicator kriging.
Nevertheless, the simulated maps should honor the data at sampled locations.
You might be doing something wrong, but hard to tell until we have a look
at the parameter file.
 
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 Kimberly D. Gordon
Sent: Wed 9/13/2006 2:46 PM
To: [email protected]
Subject: AI-GEOSTATS: Categorical Indicator Simulation with Random Results



Hello to all!

I'm having some difficulty with indicator simulation with GSLib's SISIM.
I have three categorical variables (based on rock type) that I have
kriged to a grid using IK3D.  The variograms for the data are
surprisingly well behaved considering that this is "real" data.  The
kriged results honor the data and show a relatively stratified system
(what I expected...).  However, when I plug the same input into SISIM, I
get seemingly random results and the data is not honored for all of the
multiple realizations.  I'm not using soft data or Markov chains...What
am I doing wrong?

Any suggestions are greatly appreciated!
Kim

Kimberly Gordon
INTERA Incorporated
9111 A Research Blvd.
Austin, TX 78758


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