Risk Terrain Modeling : Crime Prediction and Risk Reduction / Joel M. Caplan, Leslie W. Kennedy.

Format:

Book

Author/Creator:

Caplan, Joel M., Author.

Kennedy, Leslie W., Author.

Language:

English

Subjects (All):

Crime analysis--Statistical methods.

Crime analysis.

Spatial analysis (Statistics).

Crime--Environmental aspects.

Crime.

Crime forecasting--Geographic information systems.

Crime forecasting.

Crime prevention.

Physical Description:

1 online resource (171 pages) : illustrations

Place of Publication:

Berkeley, CA : University of California Press, [2016]

Language Note:

English

Summary:

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. To learn more, visit http://www.riskterrainmodeling.com and begin using RTM with the many free tutorials and resources.

Contents:

Frontmatter

Contents

List of Figures

List of Tables

Preface

Acknowledgments

Prologue

1. Explaining the Contexts of Crime

2. Risk Terrain Modeling Methods

3. Crime Emergence, Persistence, and Exposure

4. Presence, Repeats, and Concentration: Exposures to Crime

5. The Theory of Risky Places

6. Event Contexts of Risky Places

7. Risk Management and RTM in ACTION

8. Risk Reduction

Epilogue

Glossary

Notes

References

Index

Notes:

Bibliographic Level Mode of Issuance: Monograph

Includes bibliographical references and index.

Description based on online resource; title from PDF title page (publisher's Web site, viewed 24. Apr 2020)

ISBN:

9780520958807

0520958802

OCLC:

928136952