openair - An R package for air quality data analysis

被引:1409
作者
Carslaw, David C. [1 ]
Ropkins, Karl [2 ]
机构
[1] Kings Coll London, Environm Res Grp, London SE1 9NH, England
[2] Univ Leeds, Inst Transport Studies, Leeds LS2 9JT, W Yorkshire, England
基金
英国自然环境研究理事会;
关键词
Air pollution; Dispersion modelling; Reproducibility; Open source software; R; VICINITY;
D O I
10.1016/j.envsoft.2011.09.008
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
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.
引用
收藏
页码:52 / 61
页数:10
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