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Examinez les méthodes sélectionnées côte à côte ; les lignes qui diffèrent sont mises en évidence.
| Krigeage ordinaire global× | Krigage universel (Krigage avec une tendance)× | |
|---|---|---|
| Domaine | Analyse spatiale | Analyse spatiale |
| Famille | Regression model | Regression model |
| Année d'origine≠ | 1951–1963 | 1969 |
| Auteur d'origine≠ | Danie G. Krige; formalized by Georges Matheron | Georges Matheron |
| Type≠ | Geostatistical interpolation | Geostatistical interpolation with spatial trend |
| Source fondatrice≠ | Cressie, N. A. C. (1993). Statistics for Spatial Data (revised ed.). Wiley. ISBN: 978-0471002550 | Matheron, G. (1963). Principles of geostatistics. Economic Geology, 58(8), 1246–1266. DOI ↗ |
| Alias | ordinary kriging, OK, global kriging, stationary ordinary kriging | kriging with a trend, kriging with drift, trend kriging, evrensel kriging |
| Apparentées≠ | 5 | 3 |
| Résumé≠ | Global Ordinary Kriging (GOK) is the canonical geostatistical interpolation method that estimates values at unsampled locations as a weighted linear combination of nearby observations. It fits a single variogram model to the entire dataset, enforcing a global stationarity assumption, and produces optimal unbiased predictions along with quantified prediction uncertainty at every interpolated point. | 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. |
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