Сравнение на методи
Прегледайте избраните методи един до друг; редовете с разлики са откроени.
| Локално универсално крийгиране× | Ко-кригинг: Многовариантна геостатистическа интерполация× | |
|---|---|---|
| Област | Пространствен анализ | Пространствен анализ |
| Семейство | Regression model | Regression model |
| Година на възникване≠ | 1969/1997 | 1965-1978 |
| Създател≠ | Matheron, G. (trend/drift kriging); local neighborhood approach standard in geostatistical practice | Matheron, G.; extended by Journel & Huijbregts |
| Тип≠ | Spatial interpolation model | Geostatistical interpolation |
| Основополагащ източник≠ | Goovaerts, P. (1997). Geostatistics for Natural Resources Evaluation. Oxford University Press. ISBN: 9780195115383 | Journel, A. G., & Huijbregts, C. J. (1978). Mining Geostatistics. Academic Press, London. ISBN: 978-0123910561 |
| Други названия | local UK, local kriging with trend, local KED, local kriging with external drift | cokriging, co-regionalization kriging, multivariate kriging, CK |
| Свързани | 5 | 5 |
| Резюме≠ | 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. | Co-kriging is a geostatistical interpolation technique that predicts the spatial distribution of a primary variable by leveraging its spatial cross-correlation with one or more secondary (co-) variables. It extends ordinary kriging to multivariate settings, yielding more accurate predictions when the secondary variable is more densely sampled or spatially correlated with the primary variable of interest. |
| ScholarGateНабор от данни ↗ |
|
|