Code and data for the paper: A flexible multi-scale spatio-temporal modeling approach for disentangling meteorological and anthropogenic drivers of air pollution

simulation.R is used to implement the simulation experiment introduced in the third part of the article.empirical model.R implements the method proposed for air pollution empirical study.multiscale nested typology.html is an online version of the synthetic multi-scale nested typology (Figure 1) used in simulation experiment introduced.data folder contains all the data in simulation experiment and empirical study. The details are as follows： Table 1 Details for data and useData files Useshapefiles for sub_regions, sub_cities, and sub_grids simulation.Rshapefiles for regions, cities, and grids. empirical model.Rair_data.csv simulation.R and empirical model.R