विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| अंतर-सामयिक स्थानिक समाश्रयण× | स्थानिक डर्बिन मॉडल (SDM)× | |
|---|---|---|
| क्षेत्र | स्थानिक विश्लेषण | स्थानिक विश्लेषण |
| परिवार | Regression model | Regression model |
| उद्भव वर्ष≠ | 1990s–2000s | 2009 |
| प्रवर्तक≠ | Anselin, LeSage, Pace and colleagues in spatial econometrics | LeSage & Pace |
| प्रकार≠ | Spatio-temporal regression model | Spatial regression model |
| मौलिक स्रोत≠ | LeSage, J. P., & Pace, R. K. (2009). Introduction to Spatial Econometrics. CRC Press / Taylor & Francis. ISBN: 978-1420064247 | LeSage, J. & Pace, R. K. (2009). Introduction to Spatial Econometrics. CRC Press. DOI ↗ |
| उपनाम≠ | spatio-temporal regression, spatial panel regression, space-time regression, ST spatial regression | SDM, spatial mixed model, uzamsal durbin modeli |
| संबंधित≠ | 6 | 5 |
| सारांश≠ | Space-Time Spatial Regression extends classical spatial regression to panel settings where georeferenced units are observed across multiple time periods. By embedding a spatial weights matrix into a panel regression framework, it simultaneously controls for spatial dependence among cross-sectional units and temporal dynamics, yielding unbiased and consistent estimates in spatio-temporal data. | 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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