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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 signal isolation then break-point/segment (BP/S) methods based on 'strucchange' and 'segmented' methods to detect and quantify change events (Ropkins & Tate, 2021, <doi:10.1016/j.scitotenv.2020.142374>).
Package details |
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Author | Karl Ropkins [aut, cre] (<https://orcid.org/0000-0002-0294-6997>), Anthony Walker [aut] (<https://orcid.org/0000-0003-3979-0989>), James Tate [aut] |
Maintainer | Karl Ropkins <k.ropkins@its.leeds.ac.uk> |
License | GPL (>= 3) |
Version | 0.6.0 |
URL | https://github.com/karlropkins/AQEval https://karlropkins.github.io/AQEval/ |
Package repository | View on CRAN |
Installation |
Install the latest version of this package by entering the following in R:
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