To promote collaborative governance of PM2.5 and O3 pollution, understanding their spatiotemporal patterns and determining factors is crucial to control air pollution in China. Using the ground-monito
Spatial data has 360 row and 720 column format. Non-spatial data has variable name in each file. Please find the manuscript and supplementary information to match with the csv data.
To promote collaborative governance of PM2.5 and O3 pollution, understanding their spatiotemporal patterns and determining factors is crucial to control air pollution in China. Using the ground-monito
Spatial data has 360 row and 720 column format. Non-spatial data has variable name in each file. Please find the manuscript and supplementary information to match with the csv data.