विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| Crime Concentration Index× | गेटीस-ऑर्ड Gi* हॉट स्पॉट विश्लेषण× | |
|---|---|---|
| क्षेत्र≠ | Criminology | स्थानिक विश्लेषण |
| परिवार≠ | Process / pipeline | Regression model |
| उद्भव वर्ष≠ | 1989 | 1992 |
| प्रवर्तक≠ | Lawrence Sherman, Patrick Gartin & Michael Buerger; David Weisburd | Arthur Getis and J. Keith Ord |
| प्रकार≠ | Descriptive concentration measure for crime across micro-places | Local spatial statistic |
| मौलिक स्रोत≠ | Sherman, L. W., Gartin, P. R., & Buerger, M. E. (1989). Hot spots of predatory crime: Routine activities and the criminology of place. Criminology, 27(1), 27–56. DOI ↗ | Getis, A. & Ord, J.K. (1992). The Analysis of Spatial Association by Use of Distance Statistics. Geographical Analysis, 24(3), 189–206. DOI ↗ |
| उपनाम≠ | Crime Concentration at Place, Hot-Spot Concentration Measure, Cumulative Crime Concentration, Law of Crime Concentration | hot spot analysis, cold spot analysis, Gi* statistic, local Gi statistic |
| संबंधित | 4 | 4 |
| सारांश≠ | The crime concentration index quantifies how unevenly crime is distributed across micro-geographic places such as street segments or addresses. Building on Sherman, Gartin, and Buerger's 1989 discovery that a small fraction of addresses produces most calls for police service, and formalized in Weisburd's 2015 'law of crime concentration', it expresses the share of all crime accounted for by the most crime-prone places. | Getis-Ord Gi* is a local spatial statistic, introduced by Getis and Ord in 1992 and refined in 1995, that compares the value at each location and its neighbours against the global mean to identify statistically significant clusters of high values (hot spots) and low values (cold spots). |
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