• DocumentCode
    535293
  • Title

    A new indexing method for aggregated spatial data

  • Author

    Tong Zhou ; Yi Long ; Guo-an Tang

  • Author_Institution
    Key Lab. of Virtual Geogr. Environ., Nanjing Normal Univ., Nanjing, China
  • Volume
    6
  • fYear
    2010
  • fDate
    16-18 Oct. 2010
  • Firstpage
    2951
  • Lastpage
    2955
  • Abstract
    Studies on spatial data distribution and index structure have found that neither grid nor quad-tree index structure is efficient for managing the aggregated spatial data. Within this context a hybrid index structure is proposed in this essay, which, as per grid index parameters, incorporates quadtree index into grid index structure. Then after an analysis of the new system efficiency, details are given about how to construct a hybrid index structure and how to control its parameters, followed by an experimental application to visualizing the spatial data of Nanjing city obtained from portable navigating devices. The research result shows that the hybrid index structure enjoys obvious efficiency superiority over singular ones. Then the essay concludes with recommendations for further study on the plan inner mechanism, so as to enhance its stability and spread its application.
  • Keywords
    data visualisation; database indexing; geographic information systems; visual databases; GIS; Nanjing city; aggregated spatial data; data visualization; grid index structure; indexing method; portable navigating device; quad-tree index structure; Data visualization; Geographic Information Systems; Indexing; Redundancy; Spatial databases; Spatial indexes; GIS; hybrid index structure; map visualization; spatial index structure;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing (CISP), 2010 3rd International Congress on
  • Conference_Location
    Yantai
  • Print_ISBN
    978-1-4244-6513-2
  • Type

    conf

  • DOI
    10.1109/CISP.2010.5647581
  • Filename
    5647581