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| Co-kriging: Wielowymiarowa interpolacja geostatystyczna× | Krygowanie uniwersalne (Krygowanie z trendem)× | |
|---|---|---|
| Dziedzina | Analiza przestrzenna | Analiza przestrzenna |
| Rodzina | Regression model | Regression model |
| Rok powstania≠ | 1965-1978 | 1969 |
| Twórca≠ | Matheron, G.; extended by Journel & Huijbregts | Georges Matheron |
| Typ≠ | Geostatistical interpolation | Geostatistical interpolation with spatial trend |
| Źródło pierwotne≠ | Journel, A. G., & Huijbregts, C. J. (1978). Mining Geostatistics. Academic Press, London. ISBN: 978-0123910561 | Matheron, G. (1963). Principles of geostatistics. Economic Geology, 58(8), 1246–1266. DOI ↗ |
| Inne nazwy | cokriging, co-regionalization kriging, multivariate kriging, CK | kriging with a trend, kriging with drift, trend kriging, evrensel kriging |
| Pokrewne≠ | 5 | 3 |
| Podsumowanie≠ | 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. | 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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