Crime prediction
NETWORK FLOW MODEL FOR FORECASTING AND EVALUATING CRIMINAL DISPLACEMENT
From Description to Prediction: Crime Mapping
Experimenting with Future-Oriented Analysis at Crime Hot Spots in Minneapolis
Hierarchical Spatio-Temporal Pattern Discovery and Predictive Modeling
Data-Driven Policing: How Geographic Analysis Can Reduce Social Harm
Integration of Centralized Intelligence with Geographic Information Systems: A Countywide Initiative
Effect of Weather and Temporal Variations on Calls for Police Service
Normative Forecasting - An Application of Stochastic Models to Crime Rates
Geospatial Technology Working Group (TWG): Meeting Report on Predictive Policing
Engaging the Community: Operation Heat Wave
Predicting Rapist Type From Crime-Scene Variables
Applying Community Tapestry Data to Public Safety
Geography and Public Safety: A Quarterly Bulletin of Applied Geography for the Study of Crime and Public Safety, Volume 2, Issue 4
Real-Time Crime Forecasting Challenge Webinar
This webinar will offer a brief overview of the National Institute of Justice and the data science needs of the criminal justice field. In addition, it will provide details about the Crime Forecasting Challenge, including who can submit, how to retrieve datasets, and the submission categories. The overall goal of the Crime Forecasting Challenge is to harness recent advances in data science to drive innovation in algorithms that advance place-based crime forecasting.
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