[R-sig-Geo] krige.bayes output

[Edzer J. Pebesma]

Is it possible to compute them experimentally, by computing the variance 
of the back-transformed simulations for each prediction location?
--
Edzer

Paulo Justiniano Ribeiro Jr wrote:
> Dear Giovanna
>
> For certain values of the Box-Cox transformation it is not possible to
> compute kriging variances.
> Therefore a measure of the uncertainty of the predictions is computed by
> (Q3-Q1)/4
> where Q3 and Q1 are the 3rd and 1st quartiles
>
> best
> P.J.
>
>
> Paulo Justiniano Ribeiro Jr
> LEG (Laboratório de Estatística e Geoinformação)
> Universidade Federal do Paraná
> Caixa Postal 19.081
> CEP 81.531-990
> Curitiba, PR  -  Brasil
> Tel: (+55) 41 3361 3573
> Fax: (+55) 41 3361 3141
> e-mail: paulojus AT  ufpr  br
> http://www.leg.ufpr.br/~paulojus
>
> On Thu, 21 Jun 2007, giovanna jona lasinio wrote:
>
>   
>> Dear all,
>> I'm running a bayesian kriging using krige.bayes in the geoR library.
>> I'm using a linux machine with R 2.4. I'm running a chain of annual
>> surfaces estimation and I'm using every year's output to build the prior
>> for the next one through the function post2prior (always, geoR library).
>> My predictive distribution is back-transformed (Box-Cox) from Gaussian
>> (log transformation).
>>
>> My problem concerns the krige.bayes output, in the predictive list I
>> find an element named uncertainty of the same length as my surface. I
>> was not able to find any explanation of what is in it searching the help
>> and the mailing list archive.
>> Does anyone know what  is it?
>>
>> Best
>> Giovanna Jona Lasinio
>>
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>>     
>
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