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Volumn 16, Issue , 2004, Pages 171-180

A comparative study of spatial indexing techniques for multidimensional scientific datasets

Author keywords

[No Author keywords available]

Indexed keywords

DATA SETS; SCIENTIFIC APPLICATIONS; SPATIAL HYBRID TREE; SPATIAL INDEXING;

EID: 5444229854     PISSN: 10993371     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (20)

References (17)
  • 1
    • 84947260150 scopus 로고    scopus 로고
    • Exploiting functional decomposition for efficient parallel processing of multiple data analysis queries
    • IEEE Computer Society Press, Apr. Also available as University of Maryland Technical Report CS-TR-4404 and UMIACS-TR-2002-84
    • H. Andrade, T. Kurc, A. Sussman, and J. Salez. Exploiting functional decomposition for efficient parallel processing of multiple data analysis queries. In Proceedings of the 17th International Parallel & Distributed Processing Symposium. IEEE Computer Society Press, Apr. 2003. Also available as University of Maryland Technical Report CS-TR-4404 and UMIACS-TR-2002-84.
    • (2003) Proceedings of the 17th International Parallel & Distributed Processing Symposium
    • Andrade, H.1    Kurc, T.2    Sussman, A.3    Salez, J.4
  • 5
    • 0016557674 scopus 로고    scopus 로고
    • Multidimensional binary search trees used for associative searching
    • J. L. Bentley. Multidimensional binary search trees used for associative searching. In Communications of the ACM 18(9), 1975.
    • Communications of the ACM , vol.18 , Issue.9 , pp. 1975
    • Bentley, J.L.1
  • 12
    • 0025625409 scopus 로고
    • The hB-tree: A multiattribute indexing method with good guaranteed performance
    • D. Lomet and B. Saltzberg. The hB-tree: A multiattribute indexing method with good guaranteed performance. In ACM Transactions on Database Systems, vol. 15, no. 4, 1990.
    • (1990) ACM Transactions on Database Systems , vol.15 , Issue.4
    • Lomet, D.1    Saltzberg, B.2
  • 13
    • 0021595596 scopus 로고
    • A file organization for geographic information systems based on the spatial proximity
    • N. M. Matsuyama T, Hao L.V. A file organization for geographic information systems based on the spatial proximity. In Computer Vision, Graphics and Image Processing. Vol. 26, No.3, pages 303-318, 1984.
    • (1984) Computer Vision, Graphics and Image Processing , vol.26 , Issue.3 , pp. 303-318
    • Matsuyama, N.M.T.1    Hao, L.V.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.