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| Journey to Crime Analysis× | Near-Repeat Analysis× | |
|---|---|---|
| Campo | Criminology | Criminology |
| Famiglia | Process / pipeline | Process / pipeline |
| Anno di origine≠ | 2000 | 2003 |
| Ideatore≠ | D. Kim Rossmo (geographic profiling); journey-to-crime tradition | Michael Townsley, Shane Johnson & Kate Bowers |
| Tipo≠ | Spatial analysis of offender travel and home-location inference | Space-time clustering test for crime contagion |
| Fonte seminale≠ | Rossmo, D. K. (2000). Geographic Profiling. CRC Press. ISBN: 9780849381294 | 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 ↗ |
| Alias | Journey-to-Crime Modeling, Geographic Profiling, Crime Trip Analysis, Distance-Decay Crime Analysis | Near Repeat Calculator Method, Space-Time Near-Repeat Analysis, Near-Repeat Victimization, Contagion Crime Pattern Analysis |
| Correlati | 4 | 4 |
| Sintesi≠ | 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. | 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. |
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