• DocumentCode
    1842288
  • Title

    Geometric and thematic integration of spatial data into maps

  • Author

    McKenney, Mark

  • Author_Institution
    Dept. of Comput. Sci., Texas State Univ., San Marcos, TX, USA
  • fYear
    2010
  • fDate
    4-6 Aug. 2010
  • Firstpage
    201
  • Lastpage
    206
  • Abstract
    The map construction problem (MCP) is defined as a spatial data integration problem relating to the integration of region data into map data. Although a purely geometric integration of regions into a map is known and is efficient, algorithms preserving thematic data of regions are much more difficult. A naive approach to the MCP runs in O((nm lg nm)2 + k) time for m regions composed with n line segments on average with k line segment intersections. A new O((n+k)(lg n+m+lg m2)) algorithm is presented to solve the MCP. The algorithm has been implemented and experiments show that it is significantly faster than the naive approach.
  • Keywords
    cartography; computational complexity; geographic information systems; spatial data structures; computational complexity; geometric integration; line segment intersections; map construction problem; map data; region data; spatial data integration problem; thematic integration; Complexity theory; Data visualization; Image segmentation; Region 1; Region 2; Region 3; Spatial databases; Geographic information systems; algorithms; data management; spatial data structures;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Reuse and Integration (IRI), 2010 IEEE International Conference on
  • Conference_Location
    Las Vegas, NV
  • Print_ISBN
    978-1-4244-8097-5
  • Type

    conf

  • DOI
    10.1109/IRI.2010.5558941
  • Filename
    5558941