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openair

open source tools for air quality data analysis

openair is an R package developed for the purpose of analysing air quality data — or more generally atmospheric composition data. The package is extensively used in academia, the public and private sectors. The project was initially funded by the UK Natural Environment Research Council (NERC), with additional funds from the UK Department for Environment Food & Rural Affairs (Defra).

Part of the openair toolkit

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Version

Install

install.packages('openair')

Monthly Downloads

4,035

Version

2.19.0

License

MIT + file LICENSE

Issues

Pull Requests

Stars

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Repository

https://github.com/openair-project/openair

Homepage

https://openair-project.github.io/openair/

Maintainer

David Carslaw

Last Published

August 28th, 2025

Functions in openair (2.19.0)

Correlation matrices with conditioning

conditionalQuantile

Conditional quantile estimates for model evaluation

Calculate summary statistics for air pollution data by year

conditionalEval

Conditional quantile estimates with additional variables for model evaluation

Estimate NO2/NOX emission ratios from monitoring data

Taylor Diagram for model evaluation with conditioning

Calculate percentile values from a time series

Tests for trends using Theil-Sen estimates

Bin data, calculate mean and bootstrap confidence interval in the mean

Plot time series values in a conventional calendar format

Import data from Imperial College London networks

Import pre-calculated HYSPLIT 96-hour back trajectories

Scale key handling for openair

Import monitoring site meta data for UK and European networks

Import data from the UK Air Pollution Networks

Function to split data in different ways for conditioning

Import air quality data from European database until February 2024

CERC Atmospheric Dispersion Modelling System (ADMS) data import function(s) for openair

Linear relations between pollutants

Import data from individual UK Air Pollution Networks

openair-package

openair: Tools for the Analysis of Air Pollution Data

Polar plots considering changes in concentrations between two time periods

Calculate common model evaluation statistics

Function to plot percentiles by wind direction

K-means clustering of bivariate polar plots

Pre-defined openair colours and definition of user-defined colours

Bivariate polarAnnulus plot

Function to plot wind speed/direction frequencies and other statistics

Function for plotting bivariate polar plots with smoothing.

Example air quality monitoring data for openair

Function to extract run lengths greater than a threshold

Rolling regression for pollutant source characterisation.

Divide up a data frame by time

Automatic text formatting for openair

Function to rapidly provide an overview of air quality data

Subset a data frame based on date

Pollution rose variation of the traditional wind rose plot

Calculate nonparametric smooth trends

Flexible scatter plots

Calculate rolling mean pollutant values

Plot heat map trends

Trajectory level plots with conditioning

Calculate clusters for back trajectories

Function to calculate time averages for data frames

Traditional wind rose plot

Diurnal, day of the week and monthly variation

Time series plot with categories shown as a stacked bar chart

Plot time series

Trajectory line plots with conditioning