The Blended Kriging Version of SAKWeb©

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


Kriging describes the best linear unbiased estimator in the sense of least variance. Kriging is B.L.U.E. (best linear unbiased estimator) and B.U.E. (best unbiased estimator if data respects the ‘bell’ curve). When Kriging is compared with deterministic interpolators, there are major differences, e.g., the former provides uncertainty assessment, anisotropy detection or methodology assumptions. This poster tries to address the former combination issue when different Ordinary Kriging (OK) interpolations for the same region are available using a weighted quantification based on the smaller estimation variance.
Original languageUnknown
Title of host publicationJornadas de Classificação e Análise de Dados
Publication statusPublished - 1 Jan 2009
Duration: 1 Jan 2009 → …


Period1/01/09 → …

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