skgrange/rmweather: Tools to Conduct Meteorological Normalisation on Air Quality Data

An integrated set of tools to allow data users to conduct meteorological normalisation on air quality data. This 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>.

Getting started

Package details

MaintainerStuart K. Grange <[email protected]>
LicenseGPL-3 | file LICENSE
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
skgrange/rmweather documentation built on Nov. 13, 2018, 3:51 a.m.