Porównaj metody
Przeglądaj wybrane metody obok siebie; wiersze, które się różnią, są wyróżnione.
| Lokalny Kriging Uniwersalny× | Lokalne Krigowanie Ordinaryjne× | |
|---|---|---|
| Dziedzina | Analiza przestrzenna | Analiza przestrzenna |
| Rodzina | Regression model | Regression model |
| Rok powstania≠ | 1969/1997 | 1970s–1990s |
| Twórca≠ | Matheron, G. (trend/drift kriging); local neighborhood approach standard in geostatistical practice | Journel & Huijbregts; developed further by Goovaerts and Chiles & Delfiner |
| Typ≠ | Spatial interpolation model | Geostatistical interpolation (local/moving-window variant) |
| Źródło pierwotne≠ | Goovaerts, P. (1997). Geostatistics for Natural Resources Evaluation. Oxford University Press. ISBN: 9780195115383 | Chiles, J.-P., & Delfiner, P. (1999). Geostatistics: Modeling Spatial Uncertainty. Wiley. ISBN: 978-0471083153 |
| Inne nazwy | local UK, local kriging with trend, local KED, local kriging with external drift | moving window kriging, local kriging, neighborhood kriging, LOK |
| Pokrewne | 5 | 5 |
| Podsumowanie≠ | Local Universal Kriging is a geostatistical interpolation method that combines a spatially varying deterministic trend with a stochastic residual, estimated using only nearby observations within a defined search neighborhood. It generalizes local ordinary kriging by explicitly modeling and removing a polynomial or covariate-driven drift before interpolating the residual surface. | 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. |
| ScholarGateZbiór danych ↗ |
|
|