Department of Geography & GIS
College of Humanities and Social Sciences
My previous research is about GIS analysis of depression using location-based social media data. My current research is focused on an optimized geo-visualization method to visualize scattered geographic phenomena in large areas. I teach courses such as Web GIS, Spatial Database, Python Programming, and Spatial Computing.
Yang, W. and L. Mu. (2015). GIS analysis of depression among Twitter users. Applied Geography, 60, 217-223.
Yang, W., L. Mu, and Y. Shen. (2015). Effect of climate and seasonality on depressed mood among Twitter users. Applied Geography, 63, 184-191.
Yang, W., L. Mu, and Y. Shen. (2015). How we can use Twitter data to better understand weather-related depression. The London School of Economics and Political.