• DocumentCode
    2001877
  • Title

    The detection and removal of conflicts in road network generalization by delaunay triangulation

  • Author

    Huang, Yafeng ; Ai, Tinghua ; Liu, Huihui

  • Author_Institution
    Sch. of Resource & Environ. Sci., Wuhan Univ., Wuhan, China
  • fYear
    2009
  • fDate
    12-14 Aug. 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The automated detection and removal of spatial conflicts remains unsolved in map generalization. There are many methods aiming at this question, but it is still an open question. Several impacts, such as the characteristic of spatial conflict, spatial context and others, should be considered in the process. Based on the idea of causes classification and spatial competition a comprehensive method is presented to detect conflicts by Delaunay triangulation. After conflict detection, a hierarchical classification of conflict is constructed. Corresponding operator or model for each kind of conflict is proposed. Results of this new method obtained on real data are discussed.
  • Keywords
    cartography; mesh generation; Delaunay triangulation; map generalization; road network generalization; spatial conflict detection; spatial conflict removal; Computational efficiency; Optimization methods; Roads; conflict detection; delaunay triangulation; hierarchical classification; road network; spatial conflict;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoinformatics, 2009 17th International Conference on
  • Conference_Location
    Fairfax, VA
  • Print_ISBN
    978-1-4244-4562-2
  • Electronic_ISBN
    978-1-4244-4563-9
  • Type

    conf

  • DOI
    10.1109/GEOINFORMATICS.2009.5293482
  • Filename
    5293482