openair package - RDocumentation

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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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Install

install.packages('openair')

Monthly Downloads

5,273

Version

3.0.0

License

MIT + file LICENSE

Issues

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Repository

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

Homepage

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

Maintainer

David Carslaw

Last Published

April 2nd, 2026

Functions in openair (3.0.0)

C++ kernel for SQTBA computation

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

Taylor Diagram for model evaluation with conditioning

Tests for trends using Theil-Sen estimates

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

Import data from Imperial College London networks

Function to split data in different ways for conditioning

Optimized Distance matrix based on similarity of trajectory angles

Pad a time-series dataframe and optionally fill values by block

Correlation matrices with conditioning

Import monitoring site meta data for UK and European networks

Import air quality data from European database until February 2024

conditionalQuantile

Conditional quantile estimates for model evaluation

Optimized Euclidean distance for trajectories

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

Import data from the UK Air Pollution Networks

Bivariate polarAnnulus plot

K-means clustering of bivariate polar plots

Import data from individual UK Air Pollution Networks

Calculate common model evaluation statistics

openair-package

openair: Tools for the Analysis of Air Pollution Data

Function to plot percentiles by wind direction

Import pre-calculated HYSPLIT 96-hour back trajectories

Example air quality monitoring data for openair

Calculate rolling mean pollutant values

Rolling regression for pollutant source characterisation.

rolling_gaussian_cpp

Fast Rolling Gaussian Smoother

Function to plot wind speed/direction frequencies and other statistics

Pollution rose variation of the traditional wind rose plot

Function for plotting bivariate polar plots with smoothing.

Automatic text formatting for openair

rollingQuantile

Calculate rolling quantile pollutant values

Polar plots considering changes in concentrations between two time periods

Flexible scatter plots

Divide up a data frame by time

Function to calculate time averages for data frames

shared_openair_params

Shared openair parameters

Function to extract run lengths greater than a threshold

Plot time series, perhaps for multiple pollutants, grouped or in separate panels.

Calculate nonparametric smooth trends

Time series plot with categories shown as a stacked bar chart

Subset a data frame based on date

Calculate clusters for back trajectories

Temporal variation plots with flexible panel control

Define windflow options for openair plots

Trajectory level plots with conditioning

Trajectory line plots with conditioning

Plot heat maps of atmospheric composition data

Traditional wind rose plot