This poster is the final product of a group project for my Urban Climate and Air Quality course. My team collected data from a moving vehicle equipped with a GPS device and CO2, CH4, and PM2.5 monitors. As the lead technical expert of the group, I was primarily responsible for coordinating data collection, cleaning, processing, and analysis, as well as generating visualizations for our final product. I designed a loop in RStudio that combined, cleaned, and formatted the separate data files into an analysis-ready format before performing regression analysis in ArcGIS Pro. The results of the Ordinary Least Squares regression are found in the table in the center of the poster, surrounded by two maps I created to communicate some of our main findings.