Description
R package that provides 1) machine learning to predict air pollution under average weather conditions, 2) a method to quantify the impact of air quality policies on air pollution. It includes functions for data collection and preparation, model building, performance evaluation, and causal impact analysis.
Questions this resource can help answer
What is the causal effect of an air quality policy on air quality in a specific location?
How do I use this resource?
The R package is documented in a journal article: Dai, Y, Liu, B, Tong, C & Shi, Z 2024, 'Aqpet — An R package for air quality policy evaluation', Environmental Modelling and Software, vol. 177, 106052. https://doi.org/10.1016/j.envsoft.2024.106052. You can download the R package and run using the standard R interface. The program requires you to provide air quality and meteorological time series data.
Pro tips
Resource information
Technical specifications
Application of automated machine learning to predict air pollutants under average weather conditions, application of "augmented synthetic control method" to quantify the policy impact on air pollution.
Requires installation of R software. Also requires availability of air quality and meteorological data in .csv or .xlsx format.