Tools to analyse, interpret and understand air
pollution data. Data are typically hourly time series
and both monitoring data and dispersion model output
can be analysed. Many functions can also be applied to
other data, including meteorological and traffic data.
Version: |
2.7-4 |
Depends: |
R (≥ 3.2.0) |
Imports: |
grid, rlang, dplyr (≥ 1.0), purrr, tidyr, readr, mgcv, lattice, latticeExtra, lubridate, cluster, mapproj, hexbin, Rcpp, grDevices, graphics, methods, stats, MASS, utils |
LinkingTo: |
Rcpp |
Suggests: |
KernSmooth, maps, mapdata, quantreg |
Published: |
2020-06-18 |
Author: |
David Carslaw [aut, cre],
Karl Ropkins [aut] |
Maintainer: |
David Carslaw <david.carslaw at york.ac.uk> |
BugReports: |
https://github.com/davidcarslaw/openair/issues |
License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
URL: |
http://davidcarslaw.github.io/openair/ |
NeedsCompilation: |
yes |
Citation: |
openair citation info |
Materials: |
README NEWS |
In views: |
Environmetrics, Hydrology, SpatioTemporal |
CRAN checks: |
openair results |