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Crime seasonality and the micro-spatial patterns of property crime in Vancouver, BC and Ottawa, ON

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  • Linning, Shannon J.

Abstract

Early criminological research has found that the frequency of crime is not consistent throughout the year and that crime often peaks in the summer months. What has gone largely understudied, however, is how the respective spatial patterns are impacted over time. This study investigates whether seasonal variation exists temporally across different property crime types and whether these same offences possess micro-spatial patterns that vary substantially over the calendar year.

Suggested Citation

  • Linning, Shannon J., 2015. "Crime seasonality and the micro-spatial patterns of property crime in Vancouver, BC and Ottawa, ON," Journal of Criminal Justice, Elsevier, vol. 43(6), pages 544-555.
    • Handle: RePEc:eee:jcjust:v:43:y:2015:i:6:p:544-555
    DOI: 10.1016/j.jcrimjus.2015.05.007
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    References listed on IDEAS

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    1. Kennedy, Daniel B., 1990. "Facility site selection and analysis through environmental criminology," Journal of Criminal Justice, Elsevier, vol. 18(3), pages 239-252.
    2. Chris Brunsdon & Jonathan Corcoran & Gary Higgs & Andrew Ware, 2009. "The Influence of Weather on Local Geographical Patterns of Police Calls for Service," Environment and Planning B, , vol. 36(5), pages 906-926, October.
    3. Sorg, Evan T. & Taylor, Ralph B., 2011. "Community-level impacts of temperature on urban street robbery," Journal of Criminal Justice, Elsevier, vol. 39(6), pages 463-470.
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    Cited by:

    1. Hodgkinson, Tarah & Andresen, Martin A. & Frank, Richard & Pringle, Darren, 2022. "Crime down in the Paris of the prairies: Spatial effects of COVID-19 and crime during lockdown in Saskatoon, Canada," Journal of Criminal Justice, Elsevier, vol. 78(C).
    2. Hodgkinson, Tarah & Andresen, Martin A., 2019. "Changing spatial patterns of residential burglary and the crime drop: The need for spatial data signatures," Journal of Criminal Justice, Elsevier, vol. 61(C), pages 90-100.
    3. Vanessa Azevedo & Mariana Magalhães & Daniela Paulo & Rui Leandro Maia & Gisela M. Oliveira & Maria Simas Guerreiro & Ana Isabel Sani & Laura M. Nunes, 2021. "Temporal Variability of Theft Types in the Historic Centre of Porto," Social Sciences, MDPI, vol. 10(10), pages 1-12, October.
    4. Daqian Liu & Wei Song & Chunliang Xiu & Jun Xu, 2021. "Understanding the Spatiotemporal Pattern of Crimes in Changchun, China: A Bayesian Modeling Approach," Sustainability, MDPI, vol. 13(19), pages 1-15, September.

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