Installation
About
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).
Citation | AQEval citation info |
github.com/karlropkins/AQEval | |
karlropkins.github.io/AQEval/ | |
Bug report | File report |
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