Thank you.
So that means that e.g. with ordinary cokriging, the one condition "sum of
all coefficients equal 1" is used, and not e.g. the (n+1) nonbias conditions
by which the coefficients of the target variable sum to 1, whereas the
coefficients of the n secondary variables sum to 0 ?
I'm sorry, I'm not aware of what the "usual ones" are unluckily. :)

Regards.

On 6 April 2011 13:02, Edzer Pebesma <edzer.pebesma@uni-muenster.de> wrote:

>
>
> On 04/06/2011 11:43 AM, piero campa wrote:
> > Dear list and dear Edzer,
> > I was wondering which unbiasedness condition(s) is/are used in the
> > predict.gstat function when cokriging methods are called.
>
> The usual ones; if no trend function is specified (...~1), then an
> unbiasedness condition for the mean value is used; if some trend
> function is specified the conditions extend to the mean parameters.
>
> Function gstat() has a merge parameter that allows one to join the
> unbiasedness condition for any two parameters to one.
> >
> > Thank you in advance.
> > /Piero
> >
> > --
> > View this message in context:
> http://r-sig-geo.2731867.n2.nabble.com/Cokriging-unbiasedness-condition-tp6245350p6245350.html
> > Sent from the R-sig-geo mailing list archive at Nabble.com.
> >
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> --
> Edzer Pebesma
> Institute for Geoinformatics (ifgi), University of Münster
> Weseler Straße 253, 48151 Münster, Germany. Phone: +49 251
> 8333081, Fax: +49 251 8339763  http://ifgi.uni-muenster.de
> http://www.52north.org/geostatistics      e.pebesma@wwu.de
>
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