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| Ко-крајинг: Вишеструка геостатистичка интерполација× | Geographically Weighted Regression (GWR)× | |
|---|---|---|
| Oblast | Prostorna analiza | Prostorna analiza |
| Porodica | Regression model | Regression model |
| Godina nastanka≠ | 1965-1978 | 2002 |
| Tvorac≠ | Matheron, G.; extended by Journel & Huijbregts | Fotheringham, Brunsdon & Charlton |
| Tip≠ | Geostatistical interpolation | Local spatial regression |
| Temeljni izvor≠ | Journel, A. G., & Huijbregts, C. J. (1978). Mining Geostatistics. Academic Press, London. ISBN: 978-0123910561 | Fotheringham, A. S., Brunsdon, C., & Charlton, M. (2002). Geographically Weighted Regression: The Analysis of Spatially Varying Relationships. Wiley. ISBN: 978-0471496168 |
| Drugi nazivi | cokriging, co-regionalization kriging, multivariate kriging, CK | GWR, local regression, spatially varying coefficient regression, Coğrafi Ağırlıklı Regresyon (GWR) |
| Srodne | 5 | 5 |
| Sažetak≠ | 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. | Geographically Weighted Regression is a local regression method, introduced by Fotheringham, Brunsdon and Charlton (2002), that allows the regression coefficients to vary across space. Instead of one global equation, it fits a separate set of coefficients at every location, capturing spatial heterogeneity in the relationships. |
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