विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| पैनल नेटवर्क-आधारित स्थानिक विश्लेषण× | स्थानिक स्वसहसंबंध× | |
|---|---|---|
| क्षेत्र | स्थानिक विश्लेषण | स्थानिक विश्लेषण |
| परिवार | Regression model | Regression model |
| उद्भव वर्ष≠ | 2000s–2010s | 1950 |
| प्रवर्तक≠ | Developed from LeSage & Pace spatial econometrics and Elhorst panel spatial frameworks | P. A. P. Moran (global measure, 1950); Roy Geary (Geary's C, 1954); Luc Anselin (LISA, 1995) |
| प्रकार≠ | Panel spatial regression | Spatial statistic / exploratory spatial data analysis |
| मौलिक स्रोत≠ | LeSage, J. P., & Pace, R. K. (2009). Introduction to Spatial Econometrics. CRC Press / Taylor & Francis. ISBN: 978-1420064247 | Moran, P. A. P. (1950). Notes on continuous stochastic phenomena. Biometrika, 37(1/2), 17–23. DOI ↗ |
| उपनाम | panel spatial network analysis, longitudinal network spatial analysis, panel network spatial econometrics, PNBSA | spatial dependence, geographic autocorrelation, spatial clustering measure, SA |
| संबंधित | 5 | 5 |
| सारांश≠ | Panel Network-Based Spatial Analysis extends standard spatial econometric models to repeated-measures (panel) data by representing spatial dependence through network connectivity rather than simple geographic proximity. It captures how units connected in a network influence each other's outcomes over time, while controlling for unit-level and time-level fixed effects. | Spatial autocorrelation quantifies the degree to which a variable's values at nearby locations resemble each other more (positive autocorrelation) or less (negative autocorrelation) than expected by chance. Global indices such as Moran's I summarise the pattern across the entire study area, while local variants reveal clusters and outliers at the level of individual observations. |
| ScholarGateडेटासेट ↗ |
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