rmweather - Tools to Conduct Meteorological Normalisation and Counterfactual
Modelling for Air Quality Data
An integrated set of tools to allow data users to conduct
meteorological normalisation and counterfactual modelling for
air quality data. The meteorological normalisation technique
uses predictive random forest models to remove variation of
pollutant concentrations so trends and interventions can be
explored in a robust way. For examples, see Grange et al.
(2018) <doi:10.5194/acp-18-6223-2018> and Grange and Carslaw
(2019) <doi:10.1016/j.scitotenv.2018.10.344>. The random forest
models can also be used for counterfactual or business as usual
(BAU) modelling by using the models to predict, from the
model's perspective, the future. For an example, see Grange et
al. (2021) <doi:10.5194/acp-2020-1171>.
