" 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 …

In the last fifty years, researchers have developed statistical, data-driven, analytical, and
algorithmic approaches for designing and improving emergency response management …

There has been a significant focus on predictive policing systems, as law enforcement
agents embrace modern technology to forecast criminal activity. Most developed nations …

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 …

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 …

The Kansas City, Missouri Police Department sought to reduce violent crime with an
evidence-based approach to problem analysis and intervention planning. Informed by hot …

Illicit drug dealers who operate in open-air markets must access customers in the face of
risks posed by law enforcement, customers, and competitors. However, researchers purport …

This paper examines the application of the latest iterations of EU data protection law–in the
General Data Protection Regulation, the Law Enforcement Directive and the jurisprudence …

Extant literature on crime and place recognizes crime does not occur randomly across space
and is influenced by physical place features within the environment, such as alcohol outlets …

Data analytics has an ever increasing impact on tackling various societal challenges. In this
article, we investigate how data from several heterogeneous online sources can be used to …