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 …

The field of environmental criminology is a staple theoretical framework in contemporary
criminological theory. This fully revised and expanded edition of the world's first …

Fundamentals of Research in Criminology and Criminal Justice: With Selected Readings, by
well-known researchers Ronet D. Bachman, Russell K. Schutt, and Peggy S. Plass, is a …

Background Several studies have tested the reliability of Risk Terrain Modelling (RTM) by
focusing on different geographical contexts and types of crime or events. However, to date …

" 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 …

Road traffic collisions are responsible for 1.35 million deaths per year in the World.
Moreover, they are the main cause of death for young people. To reduce the hazardous …

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 …

There are numerous hot spot mapping techniques that can be used in research and in
practice for predicting future crime locations. Due to differences in the varying techniques …

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 …

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 …