Publication: Automatic Mapping in the Presence of Substitutive Errors: A Robust Kriging Approach
Automatic Mapping in the Presence of Substitutive Errors: A Robust Kriging Approach
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Fournier, B., & Furrer, R. (2005). Automatic Mapping in the Presence of Substitutive Errors: A Robust Kriging Approach. Applied GIS, 1(2), 12-01-12–16. https://doi.org/10.2104/ag050012
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Interpolation of a spatially correlated random process is used in many scientific domains. The best unbiased linear predictor (BLUP), often called kriging predictor in geostatistical science, is sensitive to outliers. The literature contains a few attempts to robustify the kriging predictor, however none of them is completely satisfactory. In this article, we present a new robust linear predictor for a substitutive error model. First, we derive a BLUP, which is computationally very expensive even for moderate sample sizes. A forward s
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- Fournier, B
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Fournier, B., & Furrer, R. (2005). Automatic Mapping in the Presence of Substitutive Errors: A Robust Kriging Approach. Applied GIS, 1(2), 12-01-12–16. https://doi.org/10.2104/ag050012
