Rekodi ya ushahidi wa mbinu

Crime Prediction Modeling

Crime prediction modeling forecasts where and when crime is most likely to occur next, so that limited resources can be directed before incidents happen rather than after. It spans simple historical hot-spot extrapolation, statistical self-exciting point processes that treat crimes as triggering further crimes, and modern machine-learning models that blend spatial, temporal, and environmental features. The statistical foundation was sharpened by Mohler and colleagues' 2011 demonstration that earthquake-style self-exciting (Hawkes) point processes — in which each crime raises the short-term risk of nearby crimes — forecast urban crime more accurately than conventional hot-spot maps.

Sources recorded, not reviewed

Rekodi ya chanzo

Nukuu zimehamishwa kwa uhalisi kutoka kwa rekodi ya chanzo cha mbinu. Hakuna uthibitisho wa kiwango cha dai unaodokezwa kutoka kwao.

Predictive Modeling of Crime Risk (Predictive Policing)

Rekodi ya mbinu ya kiajenda · process-pipeline / criminology

Mohler, G. O., Short, M. B., Brantingham, P. J., Schoenberg, F. P., & Tita, G. E. (2011). Self-exciting point process modeling of crime. Journal of the American Statistical Association, 106(493), 100–108. · DOI 10.1198/jasa.2011.ap09546
Perry, W. L., McInnis, B., Price, C. C., Smith, S. C., & Hollywood, J. S. (2013). Predictive Policing: The Role of Crime Forecasting in Law Enforcement Operations. RAND Corporation. · ISBN 9780833081483

Fungua mbinu kamili

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Mbinu zinazohusiana

Zilizotengenezwa kutoka kwa grafu ya mbinu na kuonyeshwa kama uhusiano uliopendekezwa na mashine — hakuna dai la ushahidi linalodokezwa.

Same method familyCrime Hot Spot Analysismachine-suggested · Relational suggestion, not evidence.Same method familyCrime Mappingmachine-suggested · Relational suggestion, not evidence.Same method familyNear-Repeat Analysismachine-suggested · Relational suggestion, not evidence.Same method familyRisk Terrain Modeling (Criminology)machine-suggested · Relational suggestion, not evidence.