Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Lokālā universālā kriginga metode× | Universālā krigēšana (krigēšana ar trendu)× | |
|---|---|---|
| Nozare | Telpiskā analīze | Telpiskā analīze |
| Saime | Regression model | Regression model |
| Izcelsmes gads≠ | 1969/1997 | 1969 |
| Autors≠ | Matheron, G. (trend/drift kriging); local neighborhood approach standard in geostatistical practice | Georges Matheron |
| Tips≠ | Spatial interpolation model | Geostatistical interpolation with spatial trend |
| Pirmavots≠ | Goovaerts, P. (1997). Geostatistics for Natural Resources Evaluation. Oxford University Press. ISBN: 9780195115383 | Matheron, G. (1963). Principles of geostatistics. Economic Geology, 58(8), 1246–1266. DOI ↗ |
| Citi nosaukumi | local UK, local kriging with trend, local KED, local kriging with external drift | kriging with a trend, kriging with drift, trend kriging, evrensel kriging |
| Saistītās≠ | 5 | 3 |
| Kopsavilkums≠ | 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. | 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. |
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