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Spatial Join

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Recommended Reading

  1. Arge L, Procopiuc O, Ramaswamy S, Suel T, Vitter JS. Scalable sweeping-based spatial join. In: Proceedings of the 24th International Conference on Very Large Data Bases; 1998. p. 570–81.

    Google Scholar 

  2. Brinkhoff T, Kriegel H-P, Seeger B. Efficient processing of spatial joins using r-trees. In: Proceedings of the ACM SIGMOD International Conference on Management of Data; 1993. p. 237–46.

    Article  Google Scholar 

  3. Corral A, Manolopoulos Y, Theodoridis Y, Vassilakopoulos M. Closest pair queries in spatial databases. In: Proceedings of the ACM SIGMOD International Conference on Management of Data; 2000. p. 189–200.

    Article  Google Scholar 

  4. Güting RH. An introduction to spatial database systems. VLDB J. 1994;3(4):357–99.

    Article  Google Scholar 

  5. Guttman A. R-trees: a dynamic index structure for spatial searching. In: Proceedings of the ACM SIGMOD International Conference on Management of Data; 1984. p. 47–57.

    Google Scholar 

  6. Koudas N, Sevcik KC. Size separation spatial join. In: Proceedings of the ACM SIGMOD International Conference on Management of Data; 1997. p. 324–35.

    Google Scholar 

  7. Koudas N, Sevcik KC. High dimensional similarity joins: algorithms and performance evaluation. IEEE Trans Knowl Data Eng. 2000;12(1):3–18.

    Article  Google Scholar 

  8. Leutenegger ST, Edgington JM, Lopez MA. Str: a simple and efficient algorithm for R-tree packing. In: Proceedings of the 13th International Conference on Data Engineering; 1997. p. 497–506.

    Google Scholar 

  9. Lo M-L, Ravishankar CV. Spatial hash-joins. In: Proceedings of the ACM SIGMOD International Conference on Management of Data; 1996. p. 247–58.

    Google Scholar 

  10. Lo M-L, Ravishankar CV. The design and implementation of seeded trees: an efficient method for spatial joins. IEEE Trans Knowl Data Eng. 1998;10(1):136–52.

    Article  Google Scholar 

  11. Mamoulis N, Papadias D. Slot index spatial join. IEEE Trans Knowl Data Eng. 2003;15(1):211–31.

    Article  Google Scholar 

  12. Orenstein JA. Spatial query processing in an object-oriented database system. In: Proceedings of the ACM SIGMOD International Conference on Management of Data; 1986. p. 326–36.

    Article  MathSciNet  Google Scholar 

  13. Papadopoulos A, Rigaux P, Scholl M. A performance evaluation of spatial join processing strategies. In: Proceedings of the 6th International Symposium on Advances in Spatial Databases; 1999. p. 286–307.

    Chapter  Google Scholar 

  14. Patel JM, DeWitt DJ. Partition based spatial-merge join. In: Proceedings of the ACM SIGMOD International Conference on Management of Data; 1996. p. 259–70.

    Google Scholar 

  15. Preparata FP, Shamos MI. Computational geometry – an introduction. Springer; 1985.

    Google Scholar 

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Author information

Authors and Affiliations

  1. University of Hong Kong, Hong Kong, China

    Nikos Mamoulis

Authors
  1. Nikos Mamoulis
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Corresponding author

Correspondence to Nikos Mamoulis .

Editor information

Editors and Affiliations

  1. Georgia Institute of Technology College of Computing, Atlanta, GA, USA

    Ling Liu

  2. University of Waterloo School of Computer Science, Waterloo, ON, Canada

    M. Tamer Özsu

Section Editor information

  1. Dept. of Computer Science and Eng., Hong Kong Univ. of Science and Technology, Kowloon, Hong Kong, Hong Kong SAR

    Dimitris Papadias

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Mamoulis, N. (2018). Spatial Join. In: Liu, L., Özsu, M.T. (eds) Encyclopedia of Database Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8265-9_356

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