Andreas The simple kriging weights are not constrained in any way, either in sum or in sign.
Solving the simple kriging system gives a regression equation which 'best' predicts the value at the specified location. This is usually adjusted to be unbiassed by applying the 'rest' (1 - sum of weights) to the global average. I have had cases where the simple kriging weights added up to 2. Isobel http://geoecosse.bizland.com --- Andreas Dominik Cullmann <[EMAIL PROTECTED]> wrote: > Hi all, > the simple kriging weights do not sum to a constant. > > > From Olea (1999): 'Geostatistics for engineers and > earth scientists', > Kluwer, Boston, p.60: > '(c) The possibility of having negative weights > implies that the > estimate is not confined to the data interval;...' > > To me, this sounds like if the sum of the simple > kriging weights > is resticted to some interval, especially since I've > never seen > any sum of weights not in [0,1]. > Does anybody know any hint, evidence or proof of > such a > restriction? > > Thanks a lot. > > > --------------------------------- > Andreas Dominik Cullmann > Institut fuer forstliche Biometrie und Informatik > Buesgenweg 4 > 37077 Goettingen > Germany > Tel: ++49-551-39-3462 > > > * By using the ai-geostats mailing list you agree to > follow its rules > ( see > http://www.ai-geostats.org/help_ai-geostats.htm ) > > * To unsubscribe to ai-geostats, send the following > in the subject or in the body (plain text format) of > an email message to [EMAIL PROTECTED] > > Signoff ai-geostats
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