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Resumo(s)
Ordinary Kriging (OK) seems to achieve better spatial interpolation results than other methods regarding environmental pollution, for instance, although sampling distribution can turn out to be a problem. This latter issue leads to a crucial topic identified as the nugget-effect, the distance interval in which capturing spatial dependency is most important. SAKWeb© developments have been made using four approaches to this factor: (1) with and (2) without nugget-effect, (3) micro-scale component and (4) measurement error inclusion that leads to a non-exact Kriging version. Although no spatial patterns can be found regarding which nugget-effect fits best, the possibility of simulating different on-the-fly models and comparing discrepancy among them is already significant in a W3 context.
Descrição
Palavras-chave
Environmental modelling Geocomputation GIS Kriging Measurement error Nugget-effect Architecture Civil and Structural Engineering Building and Construction Arts and Humanities (miscellaneous) Safety, Risk, Reliability and Quality Computer Science Applications SDG 12 - Responsible Consumption and Production
