Predictive policing is sweeping the nation, promising the holy grail of policing-preventing
crime before it happens. The technology has far outpaced any legal or political …

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 …

" Risk terrain modeling (RTM) diagnoses the spatial attractors of criminal behavior and
makes accurate predictions of where crime will occur at the micro-level. This book presents …

Prior research has applied risk assessment and spatial analysis techniques to the study of
violence. This paper builds on those results, tying the practical outcomes of spatial risk …

Near repeat analysis has been increasingly used to measure the spatiotemporal clustering
of crime in contemporary criminology. Despite its predictive capacity, the typically short time …

Objectives This place-based, randomized experiment explored the impact of different patrol
strategies on violent and property crime in microscale predicted crime areas. The …

Geographic forecasting of crime can be done by considering prior crime or by considering
spatial risk factors, eg, using risk terrain modeling (RTM). The present paper tests both …

Purpose The current study investigates the application of risk terrain modeling (RTM) to
forecast gang violence. RTM is routinely utilized to predict future criminal events in micro …

Purpose The current research examines the utility of risk terrain modeling (RTM) in
developing an aggregate neighborhood risk of crime (ANROC) measure. RTM is often …

Social scientists have long shown great interest in the spatial correlates of crime patterns. A
subset of the literature has focused on how micro-level spatial factors influence the formation …