विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| मोरन का I× | स्थानीय स्थानिक सहसंबंध सूचक (Local Indicators of Spatial Association - LISA)× | |
|---|---|---|
| क्षेत्र | स्थानिक विश्लेषण | स्थानिक विश्लेषण |
| परिवार | Regression model | Regression model |
| उद्भव वर्ष≠ | 1950 | 1995 |
| प्रवर्तक≠ | Patrick A. P. Moran | Luc Anselin |
| प्रकार≠ | Spatial autocorrelation statistic | Local spatial statistic |
| मौलिक स्रोत≠ | Moran, P. A. P. (1950). Notes on continuous stochastic phenomena. Biometrika, 37(1/2), 17–23. DOI ↗ | Anselin, L. (1995). Local Indicators of Spatial Association — LISA. Geographical Analysis, 27(2), 93–115. DOI ↗ |
| उपनाम | Moran's I statistic, global Moran's I, spatial autocorrelation index, Moran index | LISA, local spatial autocorrelation statistics, local Moran's I, Anselin LISA |
| संबंधित | 6 | 6 |
| सारांश≠ | Moran's I is the standard global statistic for detecting spatial autocorrelation: whether nearby locations tend to share similar values. The index ranges from approximately −1 (perfect dispersion) through 0 (spatial randomness) to +1 (perfect clustering), allowing researchers to test whether a geographic pattern differs from complete spatial randomness with a single, interpretable number. | 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. |
| ScholarGateडेटासेट ↗ |
|
|