Spatiotemporal Interpolation Methods for the Application of Estimating Population Exposure to Fine Particulate Matter in the Contiguous U.S. and a Real-Time Web Application

Appropriate spatiotemporal interpolation is critical to the assessment of relationships between environmental exposures and health outcomes. A powerful assessment of human exposure to environmental agents would incorporate spatial and temporal dimensions simultaneously. This paper compares shape fun...

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Main Authors: Lixin Li, Xiaolu Zhou, Marc Kalo, Reinhard Piltner
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2016-07-01
Colecção:International Journal of Environmental Research and Public Health
Assuntos:
fine particulate matter (PM2.5)
spatiotemporal interpolation
shape function
Inverse Distance Weighting (IDW)
cross validation
population exposure
web application
visualization
real-time air pollution
Acesso em linha:http://www.mdpi.com/1660-4601/13/8/749
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