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Int. J. Environ. Res. Public Health 2010, 7(4), 1302-1329; doi:10.3390/ijerph7041302
Review
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
* Author to whom correspondence should be addressed.
Received: 31 December 2009; in revised form: 20 February 2010 / Accepted: 16 March 2010 / Published: 26 March 2010
(This article belongs to the Special Issue Advances in Epidemiology)
The original version is still available [1754 KB, uploaded 26 March 2010 09:00 CET]
Abstract: 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.
Keywords: GIS; spatial modelling; air pollution; autocorrelation; overlay; spatial regression; remote sensing
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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.
AMA StyleJerrett M, Gale S, Kontgis C. Spatial Modeling in Environmental and Public Health Research. International Journal of Environmental Research and Public Health. 2010; 7(4):1302-1329.
Chicago/Turabian StyleJerrett, Michael; Gale, Sara; Kontgis, Caitlin. 2010. "Spatial Modeling in Environmental and Public Health Research." Int. J. Environ. Res. Public Health 7, no. 4: 1302-1329.
Int. J. Environ. Res. Public Health
EISSN 1660-4601
Published by MDPI AG, Basel, Switzerland
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