Our research frequently involves integrating diverse data types from different sources

 
Detecting locations by wildfire potential based on machine learning of wildfire semantics from Wikipedia corpus. The maps below represent a Spatial Pattern of Wildfire discussion in the U.S. and a Classified wildfire hazard potential map

 

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.

 

Publications: 

 

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 SciencesII-4/W2(July), 87–93.

 

 

 
Last modified
08/01/2018 - 1:46 pm