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Citation
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HERO ID
1056132
Reference Type
Journal Article
Title
openair — An R package for air quality data analysis
Author(s)
Carslaw, DC; Ropkins, K
Year
2012
Is Peer Reviewed?
Yes
Journal
Environmental Modelling and Software
ISSN:
1364-8152
Volume
27-28
Page Numbers
52-61
DOI
10.1016/j.envsoft.2011.09.008
Web of Science Id
WOS:000298457000005
URL
http://linkinghub.elsevier.com/retrieve/pii/S1364815211002064
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Abstract
openair is an R package primarily developed for the analysis of air pollution measurement data but which is also of more general use in the atmospheric sciences. The package consists of many tools for importing and manipulating data, and undertaking a wide range of analyses to enhance understanding of air pollution data. In this paper we consider the development of the package with the purpose of showing how air pollution data can be analysed in more insightful ways. Examples are provided of importing data from UK air pollution networks, source identification and characterisation using bivariate polar plots, quantitative trend estimates and the use of functions for model evaluation purposes. We demonstrate how air pollution data can be analysed quickly and efficiently and in an interactive way, freeing time to consider the problem at hand. One of the central themes of openair is the use of conditioning plots and analyses, which greatly enhance inference possibilities. Finally, some consideration is given to future developments. (C) 2011 Elsevier Ltd. All rights reserved.
Keywords
Air pollution; Dispersion modelling; Reproducibility; Open source software; R
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