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.
Pročitajte cijelu metodu
Prijavite se besplatnim računom kako biste pročitali ovaj odjeljak.
Karta metoda
Okruženje srodnih metoda — odaberite čvor za istraživanje.
Izvori
- 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
Kako citirati ovu stranicu
ScholarGate. (2026, June 22). Predictive Modeling of Crime Risk (Predictive Policing). ScholarGate. https://scholargate.app/hr/criminology/crime-prediction-modeling
Koja metoda?
Postavite ovu metodu uz njoj najsrodnije i pročitajte ih jednu uz drugu — knjižnica vam knjige stavlja na stol; izbor je na vama.
- Crime Hot Spot AnalysisCriminology↔ usporedi
- Crime MappingCriminology↔ usporedi
- Near-Repeat AnalysisCriminology↔ usporedi
- Risk Terrain Modeling (Criminology)Criminology↔ usporedi
Citirana u
Slične metode
Uočili ste pogrešku na ovoj stranici? Prijavite je ili predložite ispravak →