Description
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,
).