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Process / pipelineSpatial-temporal crime analysis

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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  1. 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
  2. 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

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ScholarGate. (2026, June 22). Near-Repeat Victimization Analysis of Space-Time Crime Patterns. ScholarGate. https://scholargate.app/lv/criminology/near-repeat-analysis

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ScholarGateNear-Repeat Analysis (Near-Repeat Victimization Analysis of Space-Time Crime Patterns). Izgūts 2026-06-24 no https://scholargate.app/lv/criminology/near-repeat-analysis · Datu kopa: https://doi.org/10.5281/zenodo.20539026