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Spatial Regression

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Injury Research

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Abstract

The estimation of risk indices at particular geographic locations plays an important role in epidemiological investigation of injury. Until the advent of geocoded injury data and computerized geographic information systems, the majority of spatial studies concentrated on describing the distribution of injury morbidity and mortality across a region by manually plotting event data on a map. Little progress was made in developing the tools and methodologies devoted to studying the spatial interactions between agent, host, and environmental contributing factors. Geographically weighted regression (GWR) was recently introduced as a method for analyzing the relationship between two or more variables that vary over geographic space. This chapter introduces the fundamental concepts of GWR by contrasting it to linear regression as well as presenting an example of its application to emergency department utilization data. While the GWR method has been underutilized in the study of injury, increased use of this technique in the future will undoubtedly add a unique perspective to the field of injury research.

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Author information

Authors and Affiliations

  1. AAA Foundation for Traffic Safety, 607 14th Street, NW, Suite 201, Washington, DC, 20005, USA

    Jurek Grabowski PhD

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  1. Jurek Grabowski PhD
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Correspondence to Jurek Grabowski PhD .

Editor information

Editors and Affiliations

  1. Department of Epidemiology, Columbia University Mailman School of Public Health, New York, New York, USA

    Guohua Li

  2. Center for Injury Research and Policy, Johns Hopkins University Bloomberg School of Public Health, Baltimore, USA

    Susan P. Baker

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Grabowski, J. (2012). Spatial Regression. In: Li, G., Baker, S. (eds) Injury Research. Springer, Boston, MA. https://doi.org/10.1007/978-1-4614-1599-2_25

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  • DOI: https://doi.org/10.1007/978-1-4614-1599-2_25

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  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4614-1598-5

  • Online ISBN: 978-1-4614-1599-2

  • eBook Packages: MedicineMedicine (R0)

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