Journal Publication

  • Peng Gao, John A. Kupfer, Diansheng Guo, Ting L. Lei (2013). "Identifying functionally connected habitat compartments with a novel regionalization technique", Landscape Ecology, Vol. 28, Pages 1949-1959.
  • Koylu, C.* and D. Guo. (2013). "Smoothing Locational Measures in Spatial Networks", Computers, Environment and Urban Systems. Vol. 41, Pages 12-25. DOI:10.1016/j.compenvurbsys.2013.03.001.
  • Gao P., D. Guo, K. Liao, J. J. Webb, and S. L. Cutter (2013). "Early Detection of Terrorism Outbreaks Using Prospective Space-Time Scan Statistics", The Professional Geographer. Vol. 65 (4), Pages 676-691. doi:10.1080/00330124.2012.724348..
  • Guo D., X. Zhu, H. Jin, P. Gao and C. Andris (2012). "Discovering Spatial Patterns in Origin-Destination Mobility Data", Transactions in GIS, 16(3), 411- 429..
  • Wang, F., D. Guo and S. McLafferty (2012). "Constructing Geographic Areas for Cancer Data Analysis: A Case Study on Late-stage Breast Cancer Risk in Illinois", Applied Geography, 35(1), 1-11..
  • 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.

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).