विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| स्थानीय गेटिस-ऑर्ड Gi* (हॉट स्पॉट विश्लेषण)× | स्थानीय स्थानिक सहसंबंध सूचक (Local Indicators of Spatial Association - LISA)× | |
|---|---|---|
| क्षेत्र | स्थानिक विश्लेषण | स्थानिक विश्लेषण |
| परिवार | Regression model | Regression model |
| उद्भव वर्ष≠ | 1992–1995 | 1995 |
| प्रवर्तक≠ | Arthur Getis and J. Keith Ord | Luc Anselin |
| प्रकार≠ | Local spatial association statistic | Local spatial statistic |
| मौलिक स्रोत≠ | Getis, A., & Ord, J. K. (1992). The analysis of spatial association by use of distance statistics. Geographical Analysis, 24(3), 189–206. DOI ↗ | Anselin, L. (1995). Local Indicators of Spatial Association — LISA. Geographical Analysis, 27(2), 93–115. DOI ↗ |
| उपनाम | Gi* statistic, Getis-Ord Gi*, local G-star, hot spot statistic | LISA, local spatial autocorrelation statistics, local Moran's I, Anselin LISA |
| संबंधित≠ | 5 | 6 |
| सारांश≠ | The Local Getis-Ord Gi* statistic identifies statistically significant spatial clusters of high values (hot spots) and low values (cold spots) within a study area. Unlike global measures, it produces a z-score for every location, revealing where concentrated clustering occurs and with what statistical confidence. | 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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