Near-Repeat Analysis
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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Sources
- 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: 10.1093/bjc/43.3.615 ↗
- Johnson, S. D., & Bowers, K. J. (2004). The stability of space-time clusters of burglary. British Journal of Criminology, 44(1), 55–65. DOI: 10.1093/bjc/44.1.55 ↗
How to cite this page
ScholarGate. (2026, June 22). Near-Repeat Victimization Analysis of Space-Time Crime Patterns. ScholarGate. https://scholargate.app/en/criminology/near-repeat-analysis
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
- Crime Concentration IndexCriminology↔ compare
- Hot Spot AnalysisSpatial analysis↔ compare
- Ripley K FunctionSpatial analysis↔ compare
- Routine Activity TheoryCriminology↔ compare