Comparar métodos
Revisa los métodos seleccionados uno junto a otro; las filas que difieren aparecen resaltadas.
| Kriging Universal Global× | Kriging Universal Local× | |
|---|---|---|
| Campo | Análisis espacial | Análisis espacial |
| Familia | Regression model | Regression model |
| Año de origen≠ | 1969 | 1969/1997 |
| Autor original≠ | Georges Matheron | Matheron, G. (trend/drift kriging); local neighborhood approach standard in geostatistical practice |
| Tipo≠ | Geostatistical interpolation | Spatial interpolation model |
| Fuente seminal≠ | 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 |
| Alias | 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 |
| Relacionados≠ | 4 | 5 |
| Resumen≠ | 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. |
| ScholarGateConjunto de datos ↗ |
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