Mapping the Risk Terrain for Crime Using Machine Learning

Objectives We illustrate how a machine learning algorithm, Random Forests, can provide accurate long-term predictions of crime at micro places relative to other popular techniques. We also show how recent advances in model summaries can help to open the ‘black box’ of Random Forests, considerably im...

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Veröffentlicht in:	Journal of quantitative criminology 2021-06, Vol.37 (2), p.445-480
Hauptverfasser:	Wheeler, Andrew P., Steenbeek, Wouter
Format:	Artikel
Sprache:	eng
Schlagworte:	Crime Criminology and Criminal Justice Demography Density Forecasting Forests Law and Criminolgy Machine learning Mapping Methodology of the Social Sciences Sociology Statistics
Online-Zugang:	Volltext
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