Our research frequently involves integrating diverse data types from different sources
Monitoring driver sentiments along busy transit corridors. The following graphics show a geospatial representation of driver sentiments along a transit corridor, which are shown through the codes in the second image.
Fu, C., G. McKenzie, V. Frias-Martinez, and K. Stewart (In press)Identifying spatiotemporal urban activities through linguistic signatures, Computers, Environment and Urban Systems. https://doi.org/10.1016/j.compenvurbsys.2018.07.003
Fan, J., & K. Stewart (2015). Detecting Spatial Patterns of Natural Hazards From the Wikipedia Knowledge Base. ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, II-4/W2(July), 87–93.