Diansheng GuoI am an Associate Professor at the Department of Geography, University of South Carolina (2004-present). I received my B.S. degree from Peking University (1996), an M.S. degree from the Chinese Academy of Sciences (1999), and hold a Ph.D in Geography from the Pennsylvania State University (2003).

My research specialization is geographical information science, with an emphasis on spatial data mining and information visualization. We are facing increasingly large geographic datasets collected in various subject domains such as population census, remote sensing, climatology, business, public health, and transportation. Traditional data analysis methods have limited capability to extract from the data meaningful and useful knowledge. My research focuses on the development of new methodologies to synthesize large and complex datasets; detect the expected and discover the unexpected from data; and communicate the findings effectively for problem solving and decision making.

Welcome Message to Prospective Graduate Students
I am always looking for excellent graduate students in the area of GIScience, spatial data mining, visualization, and their application domains. >>>More details...

IEEE TVCG Publication on Flow Mapping
Guo, D. (2009), "Flow Mapping and Multivariate Visualization of Large Spatial Interaction Data", IEEE Transactions on Visualization and Computer Graphics, vol. 15, no. 6, pp. 1041-1048. [Article Link] 

AAG 2010 Special Session on Data Mining (3 sessions)
I am organizing special sessions on "Spatial Data Mining and Exploratory Data Analysis". >>>AAG Meeting

CEUS Special Issue: Spatial Data Mining - Methods and Applications
A special issue for journal Computers, Environment and Urban Systems, vol. 33, no. 6 (November, 2009): Spatial Data Mining–Methods and Applications, edited by Diansheng Guo and Jeremy Mennis.

Software on Regionalization (REDCAP)
The REDCAP software package for regionalization, which implements the algorithms presented in my IJGIS paper "Regionalization with Dynamically Constrained Agglomerative Clustering and Partitioning (REDCAP)", has been released (First release in June, 2008, latest update in December, 2009). >>> (Download)

NSF CAREER Award
I received the prestigious National Science Foundation (NSF) CAREER Award for 2008. The research topic is " Extracting and Understanding Complex Patterns in Spatial Interactions—A Computational-Visual Framework", jointly funded by two NSF programs: Geography and Regional Science and Method, Measure, and Statistics.

New Software Release
A software package for optimal linear odering is available and free for download, which includes a Java jar file, an example dataset, and a brief user manual.

IJGIS Publication on Spatial Interaction
Guo, D. (2007), "Visual Analytics of Spatial Interaction Patterns for Pandemic Decision Support". International Journal of Geographical Information Science, Special Issue on Visualization, Analytics & Spatial Decision Support. 21(8), pp. 859-877 [PDF][Journal Website]

EPB Publication on Visualization
Guo, D., K. Liao, M. Morgan (2007), "Visualizing Patterns in a Global Terrorism Incident Database". Environment and Planning B: Planning and Design. 34, pp. 767-784.[PDF][Journal Website]

IEEE TVCG Publication on Visual Analytics
Guo, D., J. Chen, A. M. MacEachren, and K. Liao (2006), "A Visualization System for Spatio-Temporal and Multivariate Patterns (VIS-STAMP)", IEEE Transactions on Visualization and Computer Graphics, vol. 12, no. 6, pp. 1461-1474. [Article Link] [Featured on the Journal Cover]

Contact Information | ©2004 Diansheng Guo