Description

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 Terrain Modeling: Crime Prediction and Risk Reduction

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£37.80

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RRP: £42.00 You save £4.20 (10%)
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Paperback / softback by Joel M. Caplan , Leslie W. Kennedy

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Short Description:

Imagine using an evidence-based risk management model that enables researchers and practitioners alike to analyze the spatial dynamics of crime,... Read more

    Publisher: University of California Press
    Publication Date: 28/06/2016
    ISBN13: 9780520282933, 978-0520282933
    ISBN10: 0520282930

    Number of Pages: 240

    Non Fiction , Politics, Philosophy & Society

    Description

    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.

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