विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| Journey to Crime Analysis× | Crime Concentration Index× | |
|---|---|---|
| क्षेत्र | Criminology | Criminology |
| परिवार | Process / pipeline | Process / pipeline |
| उद्भव वर्ष≠ | 2000 | 1989 |
| प्रवर्तक≠ | D. Kim Rossmo (geographic profiling); journey-to-crime tradition | Lawrence Sherman, Patrick Gartin & Michael Buerger; David Weisburd |
| प्रकार≠ | Spatial analysis of offender travel and home-location inference | Descriptive concentration measure for crime across micro-places |
| मौलिक स्रोत≠ | Rossmo, D. K. (2000). Geographic Profiling. CRC Press. ISBN: 9780849381294 | 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 ↗ |
| उपनाम | Journey-to-Crime Modeling, Geographic Profiling, Crime Trip Analysis, Distance-Decay Crime Analysis | Crime Concentration at Place, Hot-Spot Concentration Measure, Cumulative Crime Concentration, Law of Crime Concentration |
| संबंधित | 4 | 4 |
| सारांश≠ | Journey-to-crime analysis studies how far and where offenders travel from an anchor point — usually home — to commit crimes, and inverts that pattern to infer an unknown offender's likely base. The aggregate distance-decay regularity (most crimes occur near the offender's home, with frequency falling off with distance) underlies geographic profiling, formalized by D. Kim Rossmo in 2000 to prioritize the search for serial offenders. | 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. |
| ScholarGateडेटासेट ↗ |
|
|