Table Cartograms
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  • 作者:William Evans (18)
    Stefan Felsner (19)
    Michael Kaufmann (20)
    Stephen G. Kobourov (21)
    Debajyoti Mondal (22)
    Rahnuma Islam Nishat (23)
    Kevin Verbeek (24)
  • 刊名:Lecture Notes in Computer Science
  • 出版年:2013
  • 出版时间:2013
  • 年:2013
  • 卷:8125
  • 期:1
  • 页码:433-444
  • 全文大小:263KB
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    9. Yeap, K.H., Sarrafzadeh, M.: Floor-planning by graph dualization: 2-concave rectilinear modules. SIAM J. Comput.?22(3), 500-26 (1993) CrossRef
    10. Alam, M.J., Biedl, T., Felsner, S., Kaufmann, M., Kobourov, S.G.: Proportional contact representations of planar graphs. Journal of Graph Algorithms and Applications?16(3), 701-28 (2012) CrossRef
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    13. Keim, D.A., North, S.C., Panse, C.: Cartodraw: A fast algorithm for generating contiguous cartograms. IEEE Trans. Vis. Comput. Graph.?10(1), 95-10 (2004) CrossRef
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  • 作者单位:William Evans (18)
    Stefan Felsner (19)
    Michael Kaufmann (20)
    Stephen G. Kobourov (21)
    Debajyoti Mondal (22)
    Rahnuma Islam Nishat (23)
    Kevin Verbeek (24)

    18. Department of Computer Science, University of British Columbia, Canada
    19. Institut für Mathematik, Technische Universit?t Berlin, Germany
    20. Wilhelm-Schickard-Institut für Informatik, Universit?t Tübingen, Germany
    21. Department of Computer Science, University of Arizona, USA
    22. Department of Computer Science, University of Manitoba, Canada
    23. Department of Computer Science, University of Victoria, Canada
    24. Department of Computer Science, University of California, Santa Barbara, USA
文摘
A table cartogram of a two dimensional m ×n table A of non-negative weights in a rectangle R, whose area equals the sum of the weights, is a partition of R into convex quadrilateral faces corresponding to the cells of A such that each face has the same adjacency as its corresponding cell and has area equal to the cell’s weight. Such a partition acts as a natural way to visualize table data arising in various fields of research. In this paper, we give a O(mn)-time algorithm to find a table cartogram in a rectangle. We then generalize our algorithm to obtain table cartograms inside arbitrary convex quadrangles, circles, and finally, on the surface of cylinders and spheres.

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