Journal Publication

  • Koylu, C.* and D. Guo (2017). "Design and Evaluation of Line Symbolizations for Origin-Destination Flow Maps", Information Visualization, doi: 10.1177/1473871616681375. .

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  • Grieve, J., A. Nini and D. Guo. (2017). "Analyzing lexical emergence in Modern American English online", English Language and Linguistics, doi:10.1017/S1360674316000113. .

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  • Huang, Y., D. Guo, Alice Kasakoff and Jack Grieve (2016). "Understanding U.S. Regional Linguistic Variation with Twitter Data Analysis", Computers, Environment, and Urban Systems, Vol. 59 (2016), pp. 244–255. doi:10.1016/j.compenvurbsys.2015.12.003 .

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  • Gao, P., J. A. Kupfer, X. Zhu, and D. Guo (2016). "Quantifying Animal Trajectories Using Spatial Aggregation and Sequence Analysis – A Case Study of Differentiating Trajectories of Multiple Species", Geographic Analysis, Vol. 48, Issue 3, Pages 275–291. doi: 10.1111/gean.12098 .

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  • Gao, P., G. J. Carbone, and D. Guo (2016). "Assessment of NARCCAP Model in Simulating Rainfall Extremes Using a Spatially Constrained Regionalization Method", International Journal of Climatology, Vol. 36, Issue 5, pages 2368–2378. doi: 10.1002/joc.4500.

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  • Kang, C., Y. Liu, D. Guo and K. Qin (2015). "A Generalized Radiation Model for Human Mobility: Spatial Scale, Searching Direction and Trip Constraint", PLoS ONE 10 (11): e0143500. doi:10.1371/journal.pone.0143500.
  • Guo, D. and X. Zhu (2014). "Origin-Destination Flow Data Smoothing and Mapping", IEEE Transactions on Visualization and Computer Graphics, VOL. 20, NO. 12, pp. 2043-2052.
  • Zhu, X. and D. Guo (2014). "Mapping Large Spatial Flow Data with Hierarchical Clustering", Transactions in GIS, 18(3): 421–435. .
  • Guo, D. and Chao Chen (2014). "Detecting Non-personal and Spam Users on Geo-Tagged Twitter Network", Transactions in GIS, 18(3): 370–384.
  • Koylu C.*, D. Guo, A. Kasakoff, and J. W. Adams (2014). "Mapping Family Connectedness across Space and Time", Cartography and Geographic Information Science, 41 (1), pages 14-26. .

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).