There are widespread concerns about the use of artificial intelligence in law enforcement.
Predictive policing and risk assessment are salient examples. Worries include the accuracy …

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 …

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 …

Research identifies various place features (eg, bars, schools, public transportation stops)
that generate or attract crime. What is less clear is how the spatial influence of these place …

Existing scholarship suggests that crime concentrates in close proximity to public bus stop
locations. However, the importance of particular combinations of crime generators and …

As indicated by research on the long-term effects of adverse childhood experiences (ACEs),
maltreatment has far-reaching consequences for affected children. Effective prevention …

The presence or absence of some urban facilities can shape the spatial distribution of crime
occurrence. Exploring the joint influence of various types of facilities on crime occurrence …

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 …

Violent crime incidents occurring in Irvington, New Jersey, in 2007 and 2008 are used to
assess the joint analytical capabilities of point pattern analysis, hotspot mapping, near …