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Spatial Clustering and Autocorrelation in Health Events

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Handbook of Regional Science

Abstract

Spatial autocorrelation in health events may be the signature of underlying causal factors of direct scientific and practical interest but may also be due to pedestrian or nuisance factors that obscure meaningful spatial patterns. The problem is to discern spatial patterns that inform our understanding of the health events themselves from those that are of little interest. This chapter provides a framework for advancing knowledge when the causes of observed health event clusters are unknown.

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Acknowledgments

The author’s efforts were funded in part by grants 2R44CA112743, 5R44CA135818, and 1R21LM011132 from the National Cancer Institute and the National Library of Medicine. The perspectives are those of the author and do not necessarily represent those of the funding agencies.

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Authors and Affiliations

  1. SUNY at Buffalo, 112 Wilkeson Quad, Buffalo, NY, 14261, USA

    Dr. Geoffrey Jacquez

  2. BioMedware, Ann Arbor, MI, USA

    Dr. Geoffrey Jacquez

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  1. Dr. Geoffrey Jacquez
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Correspondence to Geoffrey Jacquez .

Editor information

Editors and Affiliations

  1. Institute for Economic Geography and GIScience, Vienna University of Economics and Business, Vienna, Austria

    Manfred M. Fischer

  2. and Business Administration Department of Spatial Economics, Free University Faculty of Economics, Amsterdam, The Netherlands

    Peter Nijkamp

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Jacquez, G. (2014). Spatial Clustering and Autocorrelation in Health Events. In: Fischer, M., Nijkamp, P. (eds) Handbook of Regional Science. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23430-9_80

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  • DOI: https://doi.org/10.1007/978-3-642-23430-9_80

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23429-3

  • Online ISBN: 978-3-642-23430-9

  • eBook Packages: Business and Economics

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