• DocumentCode
    1933224
  • Title

    A New Approach to Creating Spatial Index with R-Tree

  • Author

    Zhang, Ze-bao ; Zhang, XJian-Pei ; Yang, Jing ; Yang, Yue

  • Author_Institution
    Harbin Eng. Univ., Harbin
  • Volume
    5
  • fYear
    2007
  • fDate
    19-22 Aug. 2007
  • Firstpage
    2645
  • Lastpage
    2648
  • Abstract
    Aimed at the traditional method expends time and overlapping area is big, this paper proposes a new creation method with R-tree. Through ranking the coordinate of spatial object´s center point on 2D, a number of objects, which have minimal span, are picked up to establish the R-tree. The static batch load method optimizes spatial index structure, which can improve the spatial utilization and reduce the overlapping area. Experimental results show that this method can achieve a higher spatial utilization and reduce the time consumed, then increase the index capability. Therefore, the proposed method is correct and effective.
  • Keywords
    spatial data structures; tree searching; visual databases; R-tree; spatial index structure; static batch load method; Computer science; Costs; Cybernetics; Hilbert space; Machine learning; Optimization methods; Spatial indexes; Batch load; R-tree index; SDBMS; Spatial index;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2007 International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4244-0973-0
  • Electronic_ISBN
    978-1-4244-0973-0
  • Type

    conf

  • DOI
    10.1109/ICMLC.2007.4370595
  • Filename
    4370595