A research note on the methodological and theoretical considerations for assessing crime forecasting accuracy with the predictive accuracy index
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[1] Robin Bryant,et al. Evaluation of the MPS Predictive Policing Trial (redacted) , 2015 .
[2] Lisa Tompson,et al. (Looking) Back to the Future: Using Space—Time Patterns to Better Predict the Location of Street Crime , 2010 .
[3] Jeremy Carter,et al. A Penalized Likelihood Method for Balancing Accuracy and Fairness in Predictive Policing , 2018, 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC).
[4] David Weisburd,et al. How Much Time Should the Police Spend at Crime Hot Spots? Answers from a Police Agency Directed Randomized Field Trial in Sacramento, California , 2014 .
[5] Ned Levine,et al. The “Hottest” Part of a Hotspot: Comments on “The Utility of Hotspot Mapping for Predicting Spatial Patterns of Crime” , 2008 .
[6] D. Weisburd. THE LAW OF CRIME CONCENTRATION AND THE CRIMINOLOGY OF PLACE , 2015 .
[7] Michael Leitner,et al. Forecasting of Crime Events Applying Risk Terrain Modeling , 2015 .
[8] Grant Drawve,et al. Predictability of gun crimes: a comparison of hot spot and risk terrain modelling techniques , 2016 .
[9] Grant Drawve,et al. Enhancing Data-Driven Law Enforcement Efforts: Exploring how Risk Terrain Modeling and Conjunctive Analysis Fit in a Crime and Traffic Safety Framework , 2018, American Journal of Criminal Justice.
[10] Grant Drawve,et al. A Metric Comparison of Predictive Hot Spot Techniques and RTM , 2016 .
[11] Xiaoyun Wu,et al. Outcome Reporting Bias in Randomized Experiments on Substance Use Disorders , 2018, Journal of Quantitative Criminology.
[12] Leif D. Nelson,et al. False-Positive Psychology , 2011, Psychological science.
[13] Charlotte Gill,et al. Testing the “Law of Crime Concentration at Place” in a Suburban Setting: Implications for Research and Practice , 2017 .
[14] Alese Wooditch,et al. The point break effect: an examination of surf, crime, and transitory opportunities , 2015 .
[15] Tao Cheng,et al. Novel evaluation metrics for sparse spatio-temporal point process hotspot predictions - a crime case study , 2016, Int. J. Geogr. Inf. Sci..
[16] Michael D. Porter,et al. Rotational grid, PAI‐maximizing crime forecasts , 2018, Stat. Anal. Data Min..
[17] Alese Wooditch,et al. Using Space–Time Analysis to Evaluate Criminal Justice Programs: An Application to Stop-Question-Frisk Practices , 2016 .
[18] Haojie Zhu,et al. A Spatio-Temporal Kernel Density Estimation Framework for Predictive Crime Hotspot Mapping and Evaluation , 2018, Applied Geography.
[19] Paul A. Zandbergen,et al. Reference data and geocoding quality: Examining completeness and positional accuracy of street geocoded crime incidents , 2013 .
[20] Mamoru Amemiya,et al. Applying Crime Prediction Techniques to Japan: A Comparison Between Risk Terrain Modeling and Other Methods , 2018 .
[21] Joel M. Hunt. Do crime hot spots move? Exploring the effects of the modifiable areal unit problem and modifiable temporal unit problem on crime hot spot stability , 2016 .
[22] Alese Wooditch,et al. Do Stop, Question, and Frisk Practices Deter Crime? , 2016 .
[23] Wilpen Gorr,et al. Chronic and Temporary Crime Hot Spots , 2017 .
[24] Jeremy D. Barnum,et al. Using Vulnerability and Exposure to Improve Robbery Prediction and Target Area Selection , 2019, Applied Spatial Analysis and Policy.
[25] Liping Fu,et al. Identification of crash hotspots using kernel density estimation and kriging methods: a comparison , 2015 .
[26] Paul A. Zandbergen,et al. Kernel density estimation and hotspot mapping: examining the influence of interpolation method, grid cell size, and bandwidth on crime forecasting , 2014 .
[27] Shane D. Johnson,et al. Predictive Crime Mapping: Arbitrary Grids or Street Networks? , 2016, Journal of Quantitative Criminology.