openair: Tools for the Analysis of Air Pollution Data

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

Downloads:

Reference manual: openair.pdf
Package source: openair_2.7-4.tar.gz
Windows binaries: r-devel: openair_2.7-4.zip, r-release: openair_2.7-4.zip, r-oldrel: openair_2.7-4.zip
macOS binaries: r-release: openair_2.7-4.tgz, r-oldrel: openair_2.7-4.tgz
Old sources: openair archive

Reverse dependencies:

Reverse imports: iClick, opentraj, PWFSLSmoke, steemr, SWMPr, worldmet
Reverse suggests: envoutliers, rmweather, saqgetr

Linking:

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