I am an Assistant Professor with a passion for spatial data science and a deep-rooted curiosity to explore our world through the lens of cutting-edge geographic information technologies. My research interest encompasses a wide range of areas within GIS, including web-based GIS, CyberGIS, GIS-based decision support systems, geovisualization, geovisual analytics, social media anlaytics, human mobility, neighborhood dynamics, and health GIS.
From Aug 2022
Assistant Professor in Department of Geography & Environmental Studies at Texas State University
Jan 2021 to July 2022
Teaching Assistant Professor & Director of Undergraduate Studies in Department of Geography and Geographic Information Science
Research Fellow in CyberGIS Center for Advanced Digital and Spatial Studies
at University of Illinois at Urbana-Champaign
May 2020 to Jan 2021
Post-doctoral Research Associate in CyberGIS Center for Advanced Digital and Spatial Studies (Director: Dr. Shaowen Wang) at University of Illinois at Urbana-Champaign
Dec 2017 to Dec 2019
Post-doctoral Research Researcher at Center for Geospatial Sciences, University of California, Riverside (Director: Dr. Sergio Rey)
Oct 2016 to Dec 2017
Post-doctoral researcher at Center for Human Dynamics in Mobile Ages, San Diego State University
Doctor of Philosophy
Master of Science
Bachelor of Arts
CyberGIS-Vis integrates cutting-edge cyberGIS and online visualization capabilities into a suite of software modules for visualization and visual analytical approaches to knowledge discovery based on geospatial data. Key features of the current CyberGIS-Vis implementation include: (1) comparative visualization of spatiotemporal patterns through choropleth maps; (2) dynamic cartographic mapping linked with charts to explore high-dimensional data; (3) reproducible visual analytics through integration with CyberGIS-Jupyter; and (4) multi-language support including both Python and Javascript.
For more infomation, click here.
Vulnerable Neighborhood Explorer (VNE) is a cyberGIS-based visual analytics tool that allows users to (1) delineate neighborhoods based on their selection of variables describing socio-economic and demographic profiles and (2) explore which neighborhoods are susceptible to the impacts of disasters based on specific socio-economic and demographic characteristics. In the case of a pandemic, this tool will help public health officials (1) to understand racial/ethnic and socio-economic disparities in the disease outbreak and (2) to make decisions regarding where to distribute healthcare resources.
For more infomation, click here.
CyberGIS-HIV is a Web-based GIS application that visualizes and predicts spatiotemporal patterns of HIV rates in US counties. On the graphical user interface, users can run the model on the fly. As an output of the model, spatiotemporal patterns of estimated HIV rates and key HIV predictors are visualized via the interactive coordinated and multiple views. CyberGIS-HIV enables forecasting how future HIV rates change as HIV predictors (e.g., Pre-exposure prophylaxis (or PrEP) use rate or HIV test rate) change.
For more infomation, click here.
The website will be updated shortly.
Currently all info about me is available in my CV, click here.
Rey, Sergio, Su Yeon Han, Wei Kang, Elijah Knaap, and Renan Xavier Cortes. “A Visual Analytics System for Space–Time Dynamics of Regional Income Distributions Utilizing Animated Flow Maps and Rank‐based Markov Chains.” Geographical Analysis 52, no. 4 (2020): 537-557. DOI: 10.1111/gean.12239
Kang, Wei, Sergio Rey, Levi Wolf, Elijah Knaap, and Su Yeon Han. “Sensitivity of sequence methods in the study of neighborhood change in the United States.” Computers, Environment and Urban Systems 81 (2020): 101480. DOI: 10.1016/j.compenvurbsys.2020.101480
Han, Su Yeon, Sergio Rey, Elijah Knaap, Wei Kang, and Levi Wolf, “Adaptive Choropleth Mapper: An Open-Source Web-based Tool for Synchronous Exploration of Multiple Variables at Multiple Spatial Extents.” ISPRS International Journal of Geo-Information 8, no.11 (2019): 509. DOI: 10.3390/ijgi8110509
Han, Su Yeon, Ming-Hsiang Tsou, Elijah Knaap, Sergio Rey, and Guofeng Cao. “How Do Cities Flow in an Emergency? Tracing Human Mobility Patterns during a Natural Disaster with Big Data and Geospatial Data Science.” Urban Science 3, no. 2 (2019): 51. DOI: 10.3390/urbansci3020051
Han, Su Yeon, Ming-Hsiang Tsou, and Keith C. Clarke. “Revisiting the death of geography in the era of Big Data: the friction of distance in cyberspace and real space.” International Journal of Digital Earth 11.5 (2018): 451-469. DOI:10.1080/17538947.2017.1330366
Yang, Jiue-An, Ming-Hsiang Tsou, Chin-Te Jung, Christopher Allen, Brian H. Spitzberg, Jean Mark Gawron, and Su-Yeon Han. “Social media analytics and research testbed (SMART): Exploring spatiotemporal patterns of human dynamics with geo-targeted social media messages.” Big Data & Society 3, no. 1 (2016): 2053951716652914. DOI:10.1177/2053951716652914
Han, Su Yeon, Ming-Hsiang Tsou, and Keith C. Clarke. “Do Global Cities Enable Global Views? Using Twitter to Quantify the Level of Geographical Awareness of US Cities.” Plos One 10, no. 7 (2015): e0132464. DOI: 10.1371/journal.pone.0132464
Texas State University
University of Illinois at Urbana Champaign