विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| Panel Local Indicators of Spatial Association (Panel LISA)× | स्थानीय स्थानिक सहसंबंध सूचक (Local Indicators of Spatial Association - LISA)× | |
|---|---|---|
| क्षेत्र | स्थानिक विश्लेषण | स्थानिक विश्लेषण |
| परिवार | Regression model | Regression model |
| उद्भव वर्ष≠ | 1995 (LISA); panel extension 2000s–2010s | 1995 |
| प्रवर्तक≠ | Anselin (1995), panel extension developed through spatial econometrics literature | Luc Anselin |
| प्रकार≠ | Local spatial autocorrelation statistic | Local spatial statistic |
| मौलिक स्रोत | Anselin, L. (1995). Local indicators of spatial association — LISA. Geographical Analysis, 27(2), 93–115. DOI ↗ | Anselin, L. (1995). Local Indicators of Spatial Association — LISA. Geographical Analysis, 27(2), 93–115. DOI ↗ |
| उपनाम | Panel LISA, spatiotemporal LISA, panel local spatial autocorrelation, LISA panel extension | LISA, local spatial autocorrelation statistics, local Moran's I, Anselin LISA |
| संबंधित≠ | 4 | 6 |
| सारांश≠ | Panel Local Indicators of Spatial Association extends Anselin's LISA statistics — most commonly Local Moran's I — to panel datasets, identifying spatial clusters and outliers at each location across multiple time periods. By applying local autocorrelation measures repeatedly over time, researchers can detect whether spatial concentration patterns emerge, persist, or dissolve, giving a richer spatiotemporal picture than a single cross-section allows. | LISA, introduced by Luc Anselin in 1995, decomposes a global spatial autocorrelation index into a location-specific statistic for every observation. It identifies where statistically significant spatial clusters and outliers occur on a map, enabling researchers to move beyond a single global summary and pinpoint the geographic sources of spatial dependence. |
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