Create Maps of Air Pollution Data.
openairmaps: tools to create maps of air pollution data
The main goal of {openairmaps}
is to combine the robust analytical methods found in {openair}
on a range of dynamic and static maps. Core functionality includes visualising UK AQ networks (networkMap()
), putting “polar directional markers” on maps (e.g., polarMap()
) and overlaying HYSPLIT trajectories on maps (e.g., trajMap()
), all using the {leaflet}
package. Static equivalents of most functions are also available for insertion into traditional reports and academic articles.
Installation
You can install the release version of {openairmaps}
from CRAN with:
install.packages("openairmaps")
You can install the development version of {openairmaps}
from GitHub with:
# install.packages("pak")
pak::pak("davidcarslaw/openairmaps")
Documentation
All functions in {openairmaps}
are thoroughly documented. The openairmaps website contains all documentation and a change log of new features. There are also many examples of {openairmaps}
functionality the openair book, which goes into great detail about its various functions.
The {openair}
toolkit
{openair}
: Import, analyse, and visualise air quality and atmospheric composition data.{worldmet}
: Access world meteorological data from NOAA’s Integrated Surface Database.{openairmaps}
: Visualise air quality data on interactive and static maps.{deweather}
: Use machine learning to remove the effects of meteorology on air quality time series.