openair
Tools for the Analysis of Air Pollution Data
An R package for analyzing, interpreting, and visualizing air-pollution time series, meteorological data, and dispersion-model output.
About the Project
Why use this?
openair provides a comprehensive set of R tools for analyzing air-pollution data. It is designed for regular time-series data and can analyze air-quality measurements, meteorological data, and dispersion-model output, helping engineers understand pollution patterns, trends, and source relationships.
Environmental engineers choose openair for exploratory analysis, trend detection, source identification, and communication of air-quality findings. Its plotting functions include time-series plots, polar plots, wind-rose analyses, and other visualizations that make it easier to relate pollutant concentrations to meteorology and emission sources. [338]
Key Features
- Air-pollution time-series analysis in R
- Analysis of measurements, meteorology, and dispersion-model output
- Polar plots, wind roses, trends, and source-oriented visualizations
- Functions that return manipulable
openairobjects - Extensive documentation through the openair book
- Reference / Repo
- https://github.com/davidcarslaw/openair
- Tool / Hosted
- https://openair-project.github.io/openair/
- Replaces / Alternative to
- Proprietary air-quality analytics and visualization software
- Free layer
- open-source