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| Παλινδρόμηση Γεωγραφικά Σταθμισμένη (GWR)× | Καθολική Κρίγκινγκ (Κρίγκινγκ με Τάση)× | |
|---|---|---|
| Πεδίο | Χωρική Ανάλυση | Χωρική Ανάλυση |
| Οικογένεια | Regression model | Regression model |
| Έτος προέλευσης≠ | 2002 | 1969 |
| Δημιουργός≠ | Fotheringham, Brunsdon & Charlton | Georges Matheron |
| Τύπος≠ | Local spatial regression | Geostatistical interpolation with spatial trend |
| Θεμελιώδης πηγή≠ | Fotheringham, A. S., Brunsdon, C., & Charlton, M. (2002). Geographically Weighted Regression: The Analysis of Spatially Varying Relationships. Wiley. ISBN: 978-0471496168 | Matheron, G. (1963). Principles of geostatistics. Economic Geology, 58(8), 1246–1266. DOI ↗ |
| Εναλλακτικές ονομασίες | GWR, local regression, spatially varying coefficient regression, Coğrafi Ağırlıklı Regresyon (GWR) | kriging with a trend, kriging with drift, trend kriging, evrensel kriging |
| Συναφείς≠ | 5 | 3 |
| Σύνοψη≠ | 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. | 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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