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Spatial Modeling in Environmental and Public Health Research

1
Division of Environmental Health Science, University of California, Berkeley, 710 University Hall (Office and GIS Lab), Berkeley, CA 94720, USA
2
Division of Epidemiology, University of California, Berkeley, 101 Haviland Hall, Berkeley, CA 94720, USA
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Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2010, 7(4), 1302-1329; https://doi.org/10.3390/ijerph7041302
Received: 31 December 2009 / Revised: 20 February 2010 / Accepted: 16 March 2010 / Published: 26 March 2010
(This article belongs to the Special Issue Advances in Epidemiology)
This paper has two aims: (1) to summarize various geographic information science methods; and (2) to provide a review of studies that have employed such methods. Though not meant to be a comprehensive review, this paper explains when certain methods are useful in epidemiological studies and also serves as an overview of the growing field of spatial epidemiology. View Full-Text
Keywords: GIS; spatial modelling; air pollution; autocorrelation; overlay; spatial regression; remote sensing GIS; spatial modelling; air pollution; autocorrelation; overlay; spatial regression; remote sensing
MDPI and ACS Style

Jerrett, M.; Gale, S.; Kontgis, C. Spatial Modeling in Environmental and Public Health Research. Int. J. Environ. Res. Public Health 2010, 7, 1302-1329.

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