Change Detection of Air Quality Time-Series Using the R Package Aqeval

28 Pages Posted: 4 Nov 2022

See all articles by Karl Ropkins

Karl Ropkins

University of Leeds

Anthony Walker

affiliation not provided to SSRN

Ian Philips

University of Leeds

Christopher Rushton

University of Leeds

Tony Clark

affiliation not provided to SSRN

James Tate

University of Leeds

Abstract

In this article, we introduce the R Air Quality Evaluation package AQEval. AQEval was developed for use by those tasked with the routine detection, characterisation and quantification of discrete changes in air quality time-series, such as identifying the impacts of air quality policy interventions. The main functions use break-point/segment (BP/S) methods to first detect (as break-points) and then characterise and quantify (as segments) discrete changes in air quality time-series. Here, the objective is to introduce the main AQEval functions that provide robust and conservative estimates of change for new users, and a work-flow of methods and work-horse functions for those looking to fine-tune methods, e.g. through BP/S model optimisation and environmental signal isolation methods such as deseasonalisation, deweathering, and background subtraction.

Keywords: R, AQEval, air quality time-series, change detection, break-point/segment

Suggested Citation

Ropkins, Karl and Walker, Anthony and Philips, Ian and Rushton, Christopher and Clark, Tony and Tate, James, Change Detection of Air Quality Time-Series Using the R Package Aqeval. Available at SSRN: https://ssrn.com/abstract=4267722 or http://dx.doi.org/10.2139/ssrn.4267722

Karl Ropkins (Contact Author)

University of Leeds ( email )

Leeds, LS2 9JT
United Kingdom

Anthony Walker

affiliation not provided to SSRN ( email )

No Address Available

Ian Philips

University of Leeds ( email )

Leeds, LS2 9JT
United Kingdom

Christopher Rushton

University of Leeds ( email )

Leeds, LS2 9JT
United Kingdom

Tony Clark

affiliation not provided to SSRN ( email )

No Address Available

James Tate

University of Leeds ( email )

Leeds, LS2 9JT
United Kingdom

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