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The results show that a mix of global and local processes are able to best model obesity rates and that MGWR provides a richer yet more parsimonious quantitative representation of obesity rate determinants compared to both GWR and ordinary least squares.
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Taylor M. Oshan
University of California, Riverside
Jordan P. Smith
Arizona State University
A. Stewart Fotheringham
GDA (United States)
International Journal of Health Geographics
SHILAP Revista de lepidopterología
University of Maryland, College Park
Arizona State University
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Oshan et al. (Sun,) studied this question.
synapsesocial.com/papers/69dcd745a6f240e91f133376 — DOI: https://doi.org/10.1186/s12942-020-00204-6