Imagine using an evidence-based risk management model that enables researchers and practitioners alike to analyze the spatial dynamics of crime, allocate resources, and implement custom crime and risk reduction strategies that are transparent, measurable, and effective. Risk Terrain Modeling (RTM) diagnoses the spatial attractors of criminal behavior and makes accurate forecasts of where crime will occur at the microlevel. RTM informs decisions about how the combined factors that contribute to criminal behavior can be targeted, connections to crime can be monitored, spatial vulnerabilities can be assessed, and actions can be taken to reduce worst effects. As a diagnostic method, RTM offers a statistically valid way to identify vulnerable places.

Risk-based policing is a research advancement that improves public safety, and its applications prevent crime specifically by managing crime risks. In Risk-Based Policing, the authors analyze case studies from a variety of city agencies including Atlantic City, New Jersey; Colorado Springs, Colorado; Glendale, Arizona; Kansas City, Missouri; Newark, New Jersey; and others. They demonstrate how focusing police resources on risky places and basing police work on smart uses of data can address the worst effects of disorder and crime while improving community relations and public safety. Topics include the role of big data; the evolution of modern policing; dealing with high-risk targets; designing, implementing, and evaluating risk-based policing strategies; and the role of multiple stakeholders in risk-based policing. The book also demonstrates how risk terrain modeling can be extended to provide a comprehensive view of prevention and deterrence.

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Risk Terrain Modeling (RTM) is an approach to risk assessment in which separate map layers representing the spatial influence and intensity of a crime risk factor is created in a geographic information system (GIS). Then all map layers are combined to produce a composite risk terrain map with values that account for all risk factors at every place throughout the landscape. RTM builds upon principles of hotspot mapping, environmental criminology, and problem-oriented policing to produce maps that show where conditions are ideal or conducive for crimes to occur given the environmental contexts. RTM is a statistically valid way to articulate and communicate crime-prone areas at the micro-level according to the spatial influence of criminogenic features. The "Risk Terrain Modeling Manual" (2010) presented the theoretical framework and complete steps of RTM. The "Risk Terrain Modeling Compendium" presents applications and concepts of RTM that were not already discussed at length in the RTM Manual. Part 1 presents an overview of risk terrain modeling, explains the history of its development, and discusses techniques for operationalizing spatial influence. Part 2 is a series of literature reviews with risk factors that are known to be related to a variety of crime types. Part 3 demonstrates how RTM may be applied to different crime types and settings, and how it can be used for a variety of practical endeavors, such as forecasting crime or evaluating place-based interventions. Part 4 concludes the book with thought pieces about RTM's potential applications to research, technologies, and activities related to public safety and security.

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There are many concepts, theories, technologies, and ideas that we rely on in the course of work as criminologists and crime analysts. This book summarizes how we understand them and how they relate to crime and illegal behavior at certain places. We can support all of the statements with prior or ongoing empirical research, professional experiences, and expert practitioner knowledge. But, we do not bore you with the details here.

GIS Mapping for Public Safety focuses on Esri's ArcGIS functionality and presents many of the tools and techniques commonly used by public safety researchers, analysts, and practitioners. It gives simple steps for descriptive, exploratory, and explanatory mapping tasks and includes concise but meaningful discussions to let you critically assess and accurately apply the software to your own unique specialty. This provides a solid foundation for advanced spatial thinking and permits you to utilize geographic information systems (GIS) technology in your own innovative ways. Its comprehensive content makes it the perfect course book or reference manual for GIS users at all skill levels.

RISK TERRAIN MODELING (RTM) is an approach to risk assessment that standardizes risk factors to common geographic units over a continuous surface. Separate map layers representing the presence, absence, or intensity of each risk factor at every place throughout a terrain is created in a Geographic Information System (GIS), and then all risk map layers are combined to produce a composite "risk terrain" map with attribute values that account for all risk factors at every location throughout the geography. RTM aids in strategic decision-making and tactical action by showing where conditions are ripe for events to occur in the future. This manual is offered as a primer on risk in the criminal event and demonstrates effective ways to apply RTM to crime analysis and policing operations. It begins with a review of the RTM approach to spatial risk assessment and presents a short overview of the theoretical underpinnings of criminological theory that have addressed the social and environmental factors that contribute to crime patterns, hotspots, and risk terrains. The second part details the technical steps for analysts to take in using ArcGIS software to develop risk terrain maps. The third and final part presents ideas of how RTM works in strategic and tactical decision-making, particularly within the context of the ACTION model for risk-based intelligence-led policing. With this manual, analysts can produce risk terrain maps that give actionable meaning to the relationships that exist between place-based indicators and crime outcomes. Planners can use this approach to develop strategic models to forecast where crime problems are likely to emerge and to engage in steps that might reduce risks of crime occurring in the future.