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Kuritegude seoste analüüs×Risk Terrain Modeling×
ValdkondKriminalistikaKriminalistika
PerekondProcess / pipelineProcess / pipeline
Tekkeaasta20022011
LoojaCraig BennellJoel Caplan
TüüpCrime science and offender profiling methodGeographic information systems and crime science method
AlgallikasBennell, C., Canter, D. V., & Alison, L. J. (2002). Linking commercial burglaries by modus operandi: Tests using regression and ROC analysis. Science and Justice, 42(3), 153-164. DOI ↗Caplan, J. M., Kennedy, L. W., & Miller, J. (2011). Risk terrain modeling: Brokering criminological theory and GIS methods for crime forecasting. Journal of Research and Practice in Criminal Justice, 17(1), 56-69. link ↗
Rööpnimetusedcase linkage, offender linking, serial crime attributionenvironmental criminology, RTM analysis, crime risk mapping
Seotud33
KokkuvõteCrime linkage analysis is a forensic method that determines whether a series of crimes were committed by the same offender based on behavioral and modus operandi (MO) similarities. Developed systematically by Craig Bennell and colleagues in the early 2000s, crime linkage applies statistical and similarity-matching techniques to establish offender attribution. The method is essential in serial crime investigation, where establishing linkage enables consolidation of investigation resources, geographic profiling, and offender-focused surveillance.Risk Terrain Modeling (RTM) is a geospatial crime prediction method that identifies high-risk locations by analyzing environmental and geographic features that attract or facilitate crime. Developed by Joel Caplan, Lichen Kennedy, and James Miller in 2011, RTM bridges environmental criminology theory with geographic information systems (GIS) to create predictive risk maps. Unlike methods that predict offender location (e.g., geographic profiling), RTM predicts where crimes are likely to occur based on terrain characteristics, infrastructure, and social environmental factors.
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ScholarGateVõrdle meetodeid: Crime Linkage Analysis · Risk Terrain Modeling. Loetud 2026-06-19 aadressilt https://scholargate.app/et/compare