This is the information provided on its GitHub page:
openair is an R package developed for the purpose of analysing air
quality data — or more generally atmospheric composition data.
This package continues to develop and input from other developers would
be welcome. A summary of some of the features are:
Access to data from several hundred UK air pollution monitoring
sites through the importAURN and importKCL functions.
Utility functions such as timeAverage and selectByDate to
make it easier to manipulate atmospheric composition data.
Flexible wind and pollution roses through windRose and
pollutionRose.
Flexible plot conditioning to easily plot data by hour or the day,
day of the week, season etc. through the openair type option
available in most functions.
More sophisticated bivariate polar plots and conditional
probability functions to help characterise different sources of
pollution. A paper on the latter is available
here.
Access to NOAA Hysplit
pre-calculated annual 96-hour back trajectories and many
plotting and analysis functions e.g. trajectory frequencies,
Potential Source Contribution Function and trajectory clustering.
Many functions for air quality model evaluation using the
flexible methods described above e.g. the type option to easily
evaluate models by season, hour of the day etc. These include key
model statistics, Taylor Diagram, Conditional Quantile plots.
Hello,
Please consider adding the openair package too.
This is the information provided on its GitHub page:
openair is an R package developed for the purpose of analysing air quality data — or more generally atmospheric composition data.
This package continues to develop and input from other developers would be welcome. A summary of some of the features are:
importAURN
andimportKCL
functions.timeAverage
andselectByDate
to make it easier to manipulate atmospheric composition data.windRose
andpollutionRose
.type
option available in most functions.type
option to easily evaluate models by season, hour of the day etc. These include key model statistics, Taylor Diagram, Conditional Quantile plots.