AQEval: Air Quality Evaluation
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>).
Version: |
0.6.0 |
Depends: |
R (≥ 3.5.0) |
Imports: |
openair, dplyr, loa, ggplot2, strucchange, segmented, mgcv, tidyr, lubridate, purrr, ggtext, stats, data.table |
Published: |
2025-01-09 |
DOI: |
10.32614/CRAN.package.AQEval |
Author: |
Karl Ropkins
[aut, cre],
Anthony Walker
[aut],
James Tate [aut] |
Maintainer: |
Karl Ropkins <k.ropkins at its.leeds.ac.uk> |
BugReports: |
https://github.com/karlropkins/AQEval/issues |
License: |
GPL (≥ 3) |
URL: |
https://github.com/karlropkins/AQEval,
https://karlropkins.github.io/AQEval/ |
NeedsCompilation: |
no |
Citation: |
AQEval citation info |
Materials: |
NEWS |
CRAN checks: |
AQEval results |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=AQEval
to link to this page.