openair - An R package for air quality data analysis
openair - An R package for air quality data analysis
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DOI：
10.1016/j.envsoft.2011.09.008
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发表时间：
2012-01-01
影响因子：
4.9
通讯作者：
Ropkins, Karl
中科院分区：
文献类型：
--
作者：
Carslaw, David C.;Ropkins, Karl
Openair是一个R包，主要是为了分析空气污染测量数据而开发的，但它在大气科学中也有更广泛的用途。该程序包包括许多工具，用于导入和处理数据，并进行广泛的分析，以加强对空气污染数据的了解。在这篇文章中，我们考虑了该程序包的开发，目的是展示如何以更有洞察力的方式分析空气污染数据。提供了从英国空气污染网络导入数据、使用双变量极图进行源识别和表征、定量趋势估计以及使用函数进行模型评估的例子。我们演示了如何以交互的方式快速、高效地分析空气污染数据，从而腾出时间来考虑手头的问题。Openair的中心主题之一是使用条件图和分析，这极大地增强了推理的可能性。最后，对未来的发展进行了一些思考。(C)2011爱思唯尔有限公司。保留所有权利。
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.