Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Space-Time Universal Kriging× | Universālā krigēšana (krigēšana ar trendu)× | |
|---|---|---|
| Nozare | Telpiskā analīze | Telpiskā analīze |
| Saime | Regression model | Regression model |
| Izcelsmes gads≠ | 1999 | 1969 |
| Autors≠ | Kyriakidis & Journel (1999); foundations in Matheron's geostatistics | Georges Matheron |
| Tips≠ | Spatiotemporal geostatistical interpolation | Geostatistical interpolation with spatial trend |
| Pirmavots≠ | Kyriakidis, P. C., & Journel, A. G. (1999). Geostatistical space-time models: A review. Mathematical Geology, 31(6), 651-684. DOI ↗ | Matheron, G. (1963). Principles of geostatistics. Economic Geology, 58(8), 1246–1266. DOI ↗ |
| Citi nosaukumi | STUK, spatiotemporal universal kriging, space-time kriging with trend, universal kriging in space-time | kriging with a trend, kriging with drift, trend kriging, evrensel kriging |
| Saistītās≠ | 5 | 3 |
| Kopsavilkums≠ | Space-Time Universal Kriging (STUK) is a geostatistical method that interpolates a continuously varying phenomenon across both space and time while explicitly modelling a deterministic trend component. It generalises Universal Kriging to the joint space-time domain, producing unbiased optimal predictions and associated uncertainty estimates at unobserved space-time locations. | 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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