Re: AI-GEOSTATS: Question about Block Lognormal Kriging.

2003-02-05 Thread Isobel Clark
Adrian

I don't do simple kriging, but both forms of the
complete backtransform are available in the papers
presented at Geocongress 1998 and Pribram 1999. These
are available at 

http://uk.geocities.com/drisobelclark/resume/Publications.html

If you have any problems downloading, let me know.
Isobel Clark
http://geoecosse.bizland.com/news.html


 --- Adrian_Martínez_Vargas [EMAIL PROTECTED]
wrote:   
 Question about Block Lognormal Kriging.
  
 For the Point Lognormal Kriging the unbiased
 estimator of z* is
  
 z*(u)=exp[y*(u) + SigmaSK^2(u)/2]
  
 where:  SigmaSK^2 simple lognormal kriging
 variante 
  
 how to get and unbiased estimator for:
 a)  Simple Block Lognormal Kriging.
 b)  Ordinary Block Lognormal Kriging.
 c)  Ordinary Point Lognormal Kriging.


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Re: AI-GEOSTATS: Question about Block Lognormal Kriging.

2003-02-05 Thread José Quintín Cuador Gil



Adrián, 
You most read the following papers:

Rivoirard, J. 1990, A Review of Lognormal 
Estimation for In Situ Reserves, Math. Geol. Vol. 22, No. 2, pp 
213-221.

Roth, C. 1996, Is Lognormal Kriging Suitable for 
Local Estimation, CG, Fontainebleau.

Regards
José Cuador

- Original Message - 
From: "Adrian Martínez Vargas" [EMAIL PROTECTED]
To: [EMAIL PROTECTED]
Sent: Wednesday, February 05, 2003 10:36 
AM
Subject: AI-GEOSTATS: Question about Block 
Lognormal Kriging.
  Question about Block 
Lognormal Kriging.  For the Point Lognormal Kriging the 
unbiased estimator of z* is  z*(u)=exp[y*(u) + 
SigmaSK^2(u)/2]  where: SigmaSK^2 simple 
lognormal kriging variante   how to get and unbiased 
estimator for: a) Simple Block Lognormal 
Kriging. b) Ordinary Block Lognormal 
Kriging. c) Ordinary Point Lognormal 
Kriging. -- * To post a 
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AI-GEOSTATS: trend removal in variogram - online-link

2003-02-05 Thread Dobler, Lorenz
hello list,

you can see the paper here (hope the link works):

http://www.uni-hohenheim.de/~kuzyakov/I-EaSS1b.pdf

look at page 3 (1221) here they describe the trend removal in the variogram



regards
Lenz

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