Consequences of kriging and land use regression for PM2.5 predictions in epidemiologic analyses: insights into spatial variability using high-resolution satellite data.

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🔗 View Article (PMID 24896768)

Published in J Expo Sci Environ Epidemiol on June 04, 2014

Authors

Stacey E Alexeeff1, Joel Schwartz2, Itai Kloog3, Alexandra Chudnovsky2, Petros Koutrakis2, Brent A Coull4

Author Affiliations

1: 1] Department of Biostatistics, Harvard School of Public Health, Boston, Massachusetts, USA [2] National Center for Atmospheric Research, Institute for Mathematics Applied to Geosciences, Boulder, Colorado, USA.
2: Department of Environmental Health, Harvard School of Public Health, Boston, Massachusetts, USA.
3: 1] Department of Environmental Health, Harvard School of Public Health, Boston, Massachusetts, USA [2] Department of Geography and Environmental Development, Ben-Gurion University of the Negev, Be'er Sheva, Israel.
4: Department of Biostatistics, Harvard School of Public Health, Boston, Massachusetts, USA.

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