Comparar métodos
Examine os métodos selecionados lado a lado; as linhas que diferem ficam destacadas.
| Robust Universal Kriging× | Krigagem Universal (Krigagem com Tendência)× | |
|---|---|---|
| Área | Análise espacial | Análise espacial |
| Família | Regression model | Regression model |
| Ano de origem≠ | 1980s–1990s | 1969 |
| Autor original≠ | Developed through contributions of Cressie, Genton, and Rousseeuw in geostatistics and robust statistics | Georges Matheron |
| Tipo≠ | Spatial interpolation model | Geostatistical interpolation with spatial trend |
| Fonte seminal≠ | Cressie, N. A. C. (1993). Statistics for Spatial Data (revised ed.). Wiley-Interscience, New York. ISBN: 978-0471002550 | Matheron, G. (1963). Principles of geostatistics. Economic Geology, 58(8), 1246–1266. DOI ↗ |
| Outros nomes | RUK, robust kriging with external drift, outlier-resistant universal kriging, robust geostatistical regression kriging | kriging with a trend, kriging with drift, trend kriging, evrensel kriging |
| Relacionados≠ | 4 | 3 |
| Resumo≠ | Robust Universal Kriging (RUK) is a geostatistical interpolation method that combines a spatially varying deterministic trend with a stochastic residual surface, while using robust estimators to protect the variogram and trend coefficients from the distorting influence of outlying observations. | Universal kriging generalizes ordinary kriging to data whose mean varies systematically across space — a spatial trend or 'drift'. It models the mean as a function of the coordinates (or covariates) and krigs the residuals, so it can interpolate variables that drift in a preferred direction, such as temperature falling with latitude or a pollutant gradient, while still returning prediction variances. |
| ScholarGateConjunto de dados ↗ |
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