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| Lokalne Krigowanie Ordinaryjne× | Krygowanie uniwersalne (Krygowanie z trendem)× | |
|---|---|---|
| Dziedzina | Analiza przestrzenna | Analiza przestrzenna |
| Rodzina | Regression model | Regression model |
| Rok powstania≠ | 1970s–1990s | 1969 |
| Twórca≠ | Journel & Huijbregts; developed further by Goovaerts and Chiles & Delfiner | Georges Matheron |
| Typ≠ | Geostatistical interpolation (local/moving-window variant) | Geostatistical interpolation with spatial trend |
| Źródło pierwotne≠ | Chiles, J.-P., & Delfiner, P. (1999). Geostatistics: Modeling Spatial Uncertainty. Wiley. ISBN: 978-0471083153 | Matheron, G. (1963). Principles of geostatistics. Economic Geology, 58(8), 1246–1266. DOI ↗ |
| Inne nazwy | moving window kriging, local kriging, neighborhood kriging, LOK | kriging with a trend, kriging with drift, trend kriging, evrensel kriging |
| Pokrewne≠ | 5 | 3 |
| Podsumowanie≠ | Local Ordinary Kriging (LOK) is a geostatistical interpolation method that estimates values at unsampled locations using only a spatially defined moving neighborhood of nearby observations. By restricting each prediction to a local data window rather than the full dataset, LOK accommodates spatial non-stationarity, reduces computational cost, and often yields more accurate local predictions than global ordinary kriging. | 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. |
| ScholarGateZbiór danych ↗ |
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