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| Test autokorelacji przestrzennej I Morana× | Model przestrzenny Durbina (SDM)× | |
|---|---|---|
| Dziedzina | Analiza przestrzenna | Analiza przestrzenna |
| Rodzina | Regression model | Regression model |
| Rok powstania≠ | 1950 | 2009 |
| Twórca≠ | Patrick A. P. Moran | LeSage & Pace |
| Typ≠ | Global spatial autocorrelation statistic | Spatial regression model |
| Źródło pierwotne≠ | Moran, P.A.P. (1950). Notes on Continuous Stochastic Phenomena. Biometrika, 37(1/2), 17–23. DOI ↗ | LeSage, J. & Pace, R. K. (2009). Introduction to Spatial Econometrics. CRC Press. DOI ↗ |
| Inne nazwy | global Moran's I, spatial autocorrelation test, Moran's I Uzamsal Otokorelasyon Testi | SDM, spatial mixed model, uzamsal durbin modeli |
| Pokrewne | 5 | 5 |
| Podsumowanie≠ | Moran's I is a global statistic, introduced by Patrick Moran in 1950, that measures whether and how a continuous variable is spatially autocorrelated across mapped units. A positive value signals clustering of similar values, a negative value signals a dispersed (checkerboard) pattern, and it is most often used as a diagnostic before moving to spatial regression. | The Spatial Durbin Model is a general spatial regression model that includes a spatial lag of both the dependent variable (ρWy) and the explanatory variables (WXθ). Introduced as the recommended starting point by LeSage and Pace (2009), it nests the spatial autoregressive (SAR) and spatial error (SEM) models as special cases. |
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