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Encyclopedia of Criminology and Criminal Justice pp 3242–3254Cite as

Near Repeats and Crime Forecasting

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Overview

It has been recognized for some time that crime clusters at a range of spatial scales. It is also well established that offenses cluster in time such that crime occurrence is more likely at particular times of the day, week, month, or year. More recently, a growing body of evidence has started to accumulate that indicates that crime also clusters in time and space, such that when an event occurs at one location, there is a temporary elevation in the probability that other events will occur nearby. Where crimes occur at the exact same location, this is referred to as repeat victimization, and where they occur at nearby locations, near-repeat victimization. Finding that the risk of crime diffuses in space has implications for crime forecasting. However, this type of work is in its infancy and naturally, many questions remain unanswered. For example, there is something of a disconnect in methodological terms between those techniques that are used to detect crime patterns and...

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Author information

Authors and Affiliations

  1. Department of Security and Crime Science, University College London, 35 Tavistock Square, London, WC1H 9EZ, UK

    Shane D. Johnson & Kate J. Bowers

Authors
  1. Shane D. Johnson
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  2. Kate J. Bowers
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Corresponding author

Correspondence to Shane D. Johnson .

Editor information

Editors and Affiliations

  1. Netherlands Institute for the Study of Crime and Law Enforcement (NSCR), Amsterdam, The Netherlands

    Gerben Bruinsma

  2. VU University Amsterdam, Amsterdam, The Netherlands

    Gerben Bruinsma

  3. Department of Criminology, Law and Society, George Mason University, Fairfax, VA, USA

    David Weisburd

  4. Faculty of Law, The Hebrew University, Mt. Scopus, Jerusalem, Israel

    David Weisburd

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Johnson, S.D., Bowers, K.J. (2014). Near Repeats and Crime Forecasting. In: Bruinsma, G., Weisburd, D. (eds) Encyclopedia of Criminology and Criminal Justice. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-5690-2_210

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  • DOI: https://doi.org/10.1007/978-1-4614-5690-2_210

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  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4614-5689-6

  • Online ISBN: 978-1-4614-5690-2

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