Dear Raimon,
 
If the data are not spatially correlated, your variogram will be modeled as a 
pure
nugget effect and all observations will receive the same weights in your block 
kriging
estimation. If you perform a global block kriging (i.e. use of a single search 
window), your
estimate will then be the arithmetical average of your observations and the 
standard
error will be provided by the kriging standard deviation.
 
Cheers,
 
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 Raimon Tolosana
Sent: Sat 7/22/2006 1:30 PM
To: [email protected]
Subject: Re: AI-GEOSTATS: KWBP Test Program



Dear list,

this situation posed by Mr.Merks, in which spatial dependence is not
strong enough as to be useful for geostatiscs, might be rather common.
I'd like to ask to the list, what kind of estimation of reserves should
be done in this case? In the absence of spatial dependence, classical
statistics should apply: therefore, shall we estimate the mean value of
ore content in the "deposit" by the arithmetic mean of the samples? And
attach an error to it, in the fashion of the standard error of the mean
(something like the variance of the sample divided by number of data
used)? Or did I grossly misunderstand something in the discussion, with
so much bogus-hocus-pocus and 5-line sentences?

thanks for the patience
Raimon Tolosana

En/na JW ha escrit:
>
> Hello Readers,
>
> 
>
> More talk and not test. I want to know what the KWBP methodology does
> with the Bre-X data. Is that too much to ask?
>
> 
>
> Kind regards,
>
> Jan W Merks

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