• DocumentCode
    3277663
  • Title

    Distance Metric on Multidimensional Spatial Objects

  • Author

    Dai, H.K. ; Su, H.C.

  • Author_Institution
    Comput. Sci. Dept., Oklahoma State Univ., Stillwater, OK, USA
  • fYear
    2015
  • fDate
    22-25 June 2015
  • Firstpage
    52
  • Lastpage
    56
  • Abstract
    A distance metric for spatially extended objects provides a formal basis for analytical work in transformation-based multidimensional spatial access methods, including locality preservation of the underlying transformation, statistical analyses of the transformation-effect on spatial parameters and distribution, and distance-based spatial queries. We study the Hausdorff distance metric on the space of closed and bounded subsets in a multidimensional Euclidean space, and its restriction to convexity results in an explicit formulation in computation based on their boundary subsets.
  • Keywords
    indexing; query processing; statistical analysis; Hausdorff distance metric; distance-based spatial queries; multidimensional Euclidean space; multidimensional spatial objects; spatial indexing; spatial parameters; statistical analysis; transformation-based multidimensional spatial access methods; Computer science; Data models; Extraterrestrial measurements; Indexes; Spatial databases; Standards; distance metric; metric space; normed space;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Science and Its Applications (ICCSA), 2015 15th International Conference on
  • Conference_Location
    Banff, AB
  • Type

    conf

  • DOI
    10.1109/ICCSA.2015.13
  • Filename
    7166164