• DocumentCode
    145189
  • Title

    The generation algorithm for spherical full-feature Voronoi diagram

  • Author

    Fengqi Zhang ; Jiatian Li ; Hai Zhao ; Shun Kang ; Xiaojuan Li

  • Author_Institution
    Inst. of Land Resource Eng., Univ. of Sci. & Technol., Kunming, China
  • Volume
    1
  • fYear
    2014
  • fDate
    26-28 April 2014
  • Firstpage
    351
  • Lastpage
    355
  • Abstract
    As a basic structure of computational geometry, Voronoi Diagram is important to data analysis of GIS. Considering the limitations of traditional vectorial and raster generation algorithm of Voronoi diagram, this paper proposes a spherical Full-Feature Voronoi diagram generation algorithm based on vector data. Through the design of an integrated perspective projection model, data and its connected relationship on the surface of a sphere will be projected to the Euclidean plane. And the discrete feature sets on this Euclidean plane will become point sets for generating sub-Voronoi diagrams. Then these sub-Voronoi diagrams will be merged if they belong to the same feature to accomplish the generation of spherical full-feature Voronoi Diagram. The result of empirical experiment shows that this algorithm is viable, and the accuracy of this algorithm has been discussed at the end of the paper.
  • Keywords
    computational geometry; data analysis; geographic information systems; GIS; computational geometry; data analysis; discrete feature sets; generating subVoronoi diagram; integrated perspective projection model; raster generation algorithm; spherical full-feature Voronoi diagram generation algorithm; vector data; vectorial generation algorithm; Algorithm design and analysis; Data models; Equations; Heuristic algorithms; Mathematical model; Time complexity; Vectors; Full-feature; Perspective projection; Vector method; Voronoi Diagram;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science, Electronics and Electrical Engineering (ISEEE), 2014 International Conference on
  • Conference_Location
    Sapporo
  • Print_ISBN
    978-1-4799-3196-5
  • Type

    conf

  • DOI
    10.1109/InfoSEEE.2014.6948130
  • Filename
    6948130