Introduction

Voluminous geographic data have been, and continue to be, collected with modern data acquisition techniques such as global positioning systems (GPS), high-resolution remote sensing, census surveys, and internet-based volunteered geographic information. The research efforts in our lab focus on the development of new theory, methodology, and their applications to help understand massive and complex spatial data, acquire new insights and knowledge, and better support decision and policy making. Specifically, we have been conducting research in the following closely related areas (for each you may find related publications and software on this site):

Developing new computational, visual analytical, and statistical methods to process, analyze, and understand complex and massive geospatial and temporal data;
Addressing critical application problems concerning the environment, human society, and the interaction among them, such as climate change, public health, security, migration, and transportation.

To Prospective Graduate Students: We are always looking for talented graduate students. The Department of Geography at University of South Carolina is among the strongest geography programs in the U.S. (top 10 in the NRC survey), where you can work with world-renowned faculty members. Please follow the procedure to apply.

News:

Caglar Koylu earned the second place in the 2012 AAG GIS Specialty Group (GISSG) Honors Competition for Student Papers in Geographic Information Science. Congratulations to Caglar!
Peng Gao has received the 2012 NASA-MSU Professional Enhancement Award. Congratulations! He will give an oral presentations at the Annual Symposium of the U.S. Regional Association for the International Association for Landscape Ecology, April 8-12, Newport, RI. These special awards are made possible by the support of the National Aeronautics and Space Administration (NASA) and Michigan State University.
Ke Liao has successfully defended her dissertation "Computational and Visual Analyses of Spatial Interactions: A Case Study of The County-to-County Migration in the U.S." She will officially graduate in December 2011. Congratulations!
Hu Wang won the Transactions in GIS Best Paper Award at the the UCGIS summer assembly in Boulder, Colorado, June 22 -23, 2011. Congratulations to Hu!
Hu Wang, first-year Ph.D student, has been given a Travel Award by UCGIS to present his paper at the UCGIS summer assembly in Boulder, Colorado, June 22 -23, 2011. The award was made based on his paper 'A New Method to Spatial Scan Statistics with Space Partitioning'.
With the iRedistrict redistricting software, you can design professional and high-quality redistricting plans easily. (released on March 6, 2011).

AAG 2012 Special Sessions Dr. Guo is organizing special sessions on "Spatio-Temporal Data Mining and Visual Analytics ". Please submit your presenter identification number (PIN), paper title, and abstract by 9/24, 2011.	Editorial Board, Transactions in GIS Dr. Diansheng Guo will serve on the Editorial Board of Transactions in GIS, from January 1, 2012 to December 31, 2014. Transactions in GIS is an international journal that publishes original research articles in geographic information science.
Editorial Board, Professional Geographer Dr. Guo was appointed to the Editorial Board of The Professional Geographer, nominated by Editor Barney Warf and approved by the AAG Council.	Local Entropy Map for Spatial Analysis Guo, D (2010). "Local Entropy Map: A Non-Parametric Approach to Discover Spatially Varying Multiivariate Relationships". International Journal of Geographical Information Science, 24 (9), pages 1367-1389. (Download paper journal web site). You may also download related software and data.
Vehicle Trajectory Analysis Guo D., S. Liu, and H. Jin (2010). "A Graph-based Approach to Vehicle Trajectory Analysis", Journal of Location Based Service, 4(3), pages 183-199. You may download the paper from the journal website.	Graph Partitioning and 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. You can download the paper and related software.