Usporedite metode
Pregledajte odabrane metode jednu uz drugu; retci koji se razlikuju su istaknuti.
| Crime Concentration Index× | Near-Repeat Analysis× | |
|---|---|---|
| Područje | Criminology | Criminology |
| Obitelj | Process / pipeline | Process / pipeline |
| Godina nastanka≠ | 1989 | 2003 |
| Tvorac≠ | Lawrence Sherman, Patrick Gartin & Michael Buerger; David Weisburd | Michael Townsley, Shane Johnson & Kate Bowers |
| Vrsta≠ | Descriptive concentration measure for crime across micro-places | Space-time clustering test for crime contagion |
| Temeljni izvor≠ | 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 ↗ | Townsley, M., Homel, R., & Chaseling, J. (2003). Infectious burglaries: A test of the near repeat hypothesis. British Journal of Criminology, 43(3), 615–633. DOI ↗ |
| Drugi nazivi | Crime Concentration at Place, Hot-Spot Concentration Measure, Cumulative Crime Concentration, Law of Crime Concentration | Near Repeat Calculator Method, Space-Time Near-Repeat Analysis, Near-Repeat Victimization, Contagion Crime Pattern Analysis |
| Srodne | 4 | 4 |
| Sažetak≠ | 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. | Near-repeat analysis tests whether crimes cluster in space and time beyond chance: after a crime occurs, are nearby locations at elevated risk for a short period? Developed in the early 2000s by Townsley, Johnson, Bowers and colleagues for burglary, it formalizes the 'contagion' or 'communicable disease' pattern of crime using a Knox space-time test against a Monte Carlo reference distribution. |
| ScholarGateSkup podataka ↗ |
|
|