openair - An R package for air quality data analysis

By David C. Carslaw, Karl Ropkins. Environmental Modelling & Software, 2012

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Conditional bivariate probability function for source identification (2014, background): “The plots have proved to be useful in a range of settings e.g. to characterise airport sources and dispersion characteristics street canyons (Carslaw et al., 2006; Tomlin et al., 2009; Carslaw and Ropkins, 2012).”
Atmospheric microplastic deposition in an urban environment and an evaluation of transport (2019, methodology): “BPPs were calculated using the openair R-package (Carslaw and Ropkins, 2012).”
The use of electrochemical sensors for monitoring urban air quality in low-cost, high-density networks (2013, methodology): “25 generated using the OpenAir open source air quality analysis tool (D.C. Carslaw and Ropkins, 2012; David Carslaw and Ropkins, 2012; R Development Core Team, 2012), where clear diurnal signatures in all species are now apparent, together with the longer time-series variability and the 'weekend'…”
Inconsistency of Bayesian Inference for Misspecified Linear Models, and a Proposal for Repairing It (2014, background): “De Heide found that the phenomenon described in this paper also takes place for some real world data sets, namely daily maximum temperatures at the Seattle airport and air pollution data from the Openair Project at King’s College, London (Carslaw and Ropkins, 2012).”