Note: PerBA, PerPA, PerTC and PerLA refer to the percentage of building area, paved area, tree area and lawn area, respectively. The bold numbers represent the highest explanatory power of the regress
This project aims to study the effects of exposure of air pollution in India by Land-Use Regression (LUR). The main objectives is to examine the feasibility of assessing air pollution exposure by the
Local hybrid models were developed based on available local LURs for PM2.5 (Calgary and Halifax) and NO2 (Toronto, Montreal, Edmonton, Hamilton, Winnipeg, Calgary, Halifax). This dataset include Calga
"lml data processed" consist of the formatted air pollutant measurements in ".Rdata" format, data need to be opened in R using "load()". "temporal model coefficients" consist of the calculated hourly
