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.
|Title of host publication||Jornadas de Classificação e Análise de Dados|
|Publication status||Published - 1 Jan 2009|
|Event||JOCLAD - |
Duration: 1 Jan 2009 → …
|Period||1/01/09 → …|