Compară metode
Examinează metodele selectate una lângă alta; rândurile care diferă sunt evidențiate.
| Kriging Universal Global× | Kriging universal local× | |
|---|---|---|
| Domeniu | Analiză spațială | Analiză spațială |
| Familie | Regression model | Regression model |
| Anul apariției≠ | 1969 | 1969/1997 |
| Autorul original≠ | Georges Matheron | Matheron, G. (trend/drift kriging); local neighborhood approach standard in geostatistical practice |
| Tip≠ | Geostatistical interpolation | Spatial interpolation model |
| Sursa seminală≠ | Journel, A. G., & Huijbregts, C. J. (1978). Mining Geostatistics. Academic Press, London. ISBN: 978-0123910608 | Goovaerts, P. (1997). Geostatistics for Natural Resources Evaluation. Oxford University Press. ISBN: 9780195115383 |
| Denumiri alternative | universal kriging (global), global UK, kriging with external drift (global), global trend kriging | local UK, local kriging with trend, local KED, local kriging with external drift |
| Înrudite≠ | 4 | 5 |
| Rezumat≠ | Global Universal Kriging is a geostatistical interpolation method that models a spatially varying trend (drift) as a deterministic function of coordinates and uses the entire dataset to fit both the trend coefficients and the residual variogram simultaneously. It produces optimal linear unbiased predictions together with pointwise estimation uncertainty, accounting for a large-scale spatial gradient across the full study region. | 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. |
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