A Comparison of Different Approaches to Estimate Small-Scale Spatial Variation in Outdoor NO 2 Concentrations | Zendy

Marieke Dijkema | Zendy; Ulrike Gehring | Zendy; R.T. van Strien | Zendy; Saskia C. van der Zee | Zendy; Paul Fischer | Zendy; Gerard Hoek | Zendy; Bert Brunekreef | Zendy

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A Comparison of Different Approaches to Estimate Small-Scale Spatial Variation in Outdoor NO ₂ Concentrations

Author(s) -

Marieke Dijkema,

Ulrike Gehring,

R.T. van Strien,

Saskia C. van der Zee,

Paul Fischer,

Gerard Hoek,

Bert Brunekreef

Publication year - 2010

Publication title -

environmental health perspectives

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 2.257

H-Index - 282

eISSN - 1552-9924

pISSN - 0091-6765

DOI - 10.1289/ehp.0901818

Subject(s) - environmental science , spatial variability , atmospheric dispersion modeling , sampling (signal processing) , scale (ratio) , dispersion (optics) , air pollution , statistics , model selection , regression analysis , air quality index , spatial ecology , atmospheric sciences , meteorology , mathematics , geography , computer science , cartography , ecology , physics , filter (signal processing) , geology , optics , computer vision , biology

In epidemiological studies, small-scale spatial variation in air quality is estimated using land-use regression (LUR) and dispersion models. An important issue of exposure modeling is the predictive performance of the model at unmeasured locations.

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