부산대학교 도서관

To link to full-text access for this article, visit this link: http://dx.doi.org/10.1016/j.trac.2008.11.013 Byline: Karl Ropkins, David C. Carlsaw, Paul S. Goodman, James E. Tate Keywords: Carbon-dioxide emission; Chromatography; Correlation optimized warping; Environmental time series; Nitrogen oxides; Non-linear time alignment; Peak integration; Propagation method; Roadside noise; Time-series analysis Abstract: This article presents methods for the analysis of environmental time series in cases where non-linear time alignment is anticipated. First, we present simple, robust propagation methods for cases where data are archived as event lists rather than standard time series. Then, we describe alignment and analysis methods based on procedures that are traditionally associated with laboratory-instrument-data time series, namely correlation optimized warping and classical chromatographic peak integration. We provide examples to illustrate routine operation and current limitations of these methods. We also discuss possible future applications of these methods. Author Affiliation: Institute for Transport Studies, Faculty of the Environment, University of Leeds, Leeds LS2 9JT, UK