AI-GEOSTATS: SUMMARY: Simulating spatial autocorrelation?

2001-11-02 Thread Mark C Andersen

Hello all,

Yesterday morning I asked for pointers to software and
algorithms, preferably MATLAB, that could simulate spatially-
autocorrelated and/or fractal 2D patterns. Here is a summary
of replies.

1) Brian R Gray [[EMAIL PROTECTED]] suggested simply using PROC
SIM2D in SAS.

2) Yetta Jager [[EMAIL PROTECTED]] has used Gstat. Her results are
documented at http://www.esd.ornl.gov/~zij/, and Gstat is at
http://www.geog.uu.nl/gstat/.

3) W. W. Hargrove [[EMAIL PROTECTED]] suggests that I take
a look at the Fractal Realizer (http://research.esd.ornl.gov/realizer).

4) Marc Serre [[EMAIL PROTECTED]] recommends BMElib, which does
have the advantage of being MATLAB code. You can find out more about
BMElib at http://www.unc.edu/depts/case/BMELIB/.

Not being a SAS user, I'm pursuing the latter three, all of which 
appear likely to be useful to me. Thanks for all responses.

regards,
Mark A.

Dr. Mark C. Andersen, Associate Professor
Department of Fishery and Wildlife Sciences
Campus Box 4901
New Mexico State University
Las Cruces, NM 88003-0003
phone: 505-646-8034
fax: 505-646-1281

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Re: AI-GEOSTATS: Negative variances

2001-11-02 Thread Isobel Clark

Kevin

There is something badly wrong with your software. 

With ordinary kriging, it is not possible to get
negative variances. 

With lognormal kriging, it is not possible to get
negative varianse or negative estimates unless you are
using a large additive constant.

Isobel Clark
http://uk.geocities.com/drisobelclark

 --- Kevin Lowe Rfn <[EMAIL PROTECTED]> wrote: > Hi
all
> 
> I have been experimenting with various kriging
> methods in estimating
> Witwatersrand gold grades (South Africa) using
> Datamine software. I found
> that using lognormal ordinary kriging has resulted
> in negative variances in
> some blocks.
> 
> My question is why does this happen and what is the
> significance of it?
> 
> Kevin Lowe
> e-mail [EMAIL PROTECTED]
> 
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