Journal Publication

  • Kupfer J. A., P. Gao and D. Guo (2012). "Regionalization of forest pattern metrics for the continental United States using contiguity constrained clustering and partitioning", Ecological Informatics, vol. 9, 11-18..
  • Guo, D. and H. Wang (2011). "Automatic Region Building for Spatial Analysis", Transactions in GIS, 15(s1), pages 29-45.
  • Guo D. and H. Jin (2011). "iRedistrict: Geovisual Analytics for Redistricting Optimization", Journal of Visual Languages and Computing. 22(4), pages 279-289.
  • Guo D., S. Liu, and H. Jin (2010). "A Graph-based Approach to Vehicle Trajectory Analysis", Journal of Location Based Service (JLBS), 4 (3), pages 183 - 199 .
  • Guo, D. (2010). "Local Entropy Map: A Non-Parametric Approach to Discover Spatially Varying Multivariate Relationships", International Journal of Geographical Information Science, 24 (9), pages 1367-1389.
  • Guo, D. (2009). "Flow Mapping and Multivariate Visualization of Large Spatial Interaction Data", IEEE Transactions on Visualization and Computer Graphics, 15(6), pp. 1041-1048.
  • Guo, D. & J. Mennis (2009). "Spatial data mining and geographic knowledge discovery-An introduction", Computers, Environment and Urban Systems, 33(6) pp. 403-408.
  • Liao, K., D. Guo (2008). "A Clustering-Based Approach to a Capacitated Facility Location Problem", Transactions in GIS.12(3), pp. 323–339.
  • Guo, D. (2008). "Regionalization with Dynamically Constrained Agglomerative Clustering and Partitioning (REDCAP)", International Journal of Geographical Information Science. 22(7), pp. 801-823.
  • Chen, J., A.M. MacEachren, and D. Guo (2008). "Supporting the Process of Exploring and Interpreting Space-Time, Multivariate Patterns: The Visual Inquiry Toolkit", Cartography and Geographic Information Science. 35(1), pp. 33-50.

The materials distributed on this website since 2008 are based upon work partially supported by the National Science Foundation under Grant No. 0748813. Any opinions, findings and conclusions or recomendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation (NSF).