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Multiversion Linear Quadtree for Spatio-Temporal Data

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Current Issues in Databases and Information Systems (ADBIS 2000, DASFAA 2000)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1884))

Abstract

Research in spatio-temporal databases has largely focused on extensions of access methods for the proper handling of time changing spatial information. In this paper, we present the Multiversion Linear Quadtree (MVLQ), a spatio-temporal access method based on Multiversion B-trees (MVBT) [2], embedding ideas from Linear Region Quadtrees [4]. More specifically, instead of storing independent numerical data having a different transaction-time each, for every consecutive image we store a group of codewords that share the same transaction-time, whereas each codeword represents a spatial subregion. Thus, the new structure may be used as an index mechanism for storing and accessing evolving raster images. We also conducted a thorough experimentation using sequences of real and synthetic raster images. In particular, we examined the time performance of temporal window queries, and provide results for a variety of parameter settings.

Research performed under the European Union’s TMR Chorochronos project, contract number ERBFMRX-CT96-0056 (DG12-BDCN).

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Author information

Authors and Affiliations

  1. Data Engineering Lab Department of Informatics, Aristotle University, 54006, Thessaloniki, Greece

    Theodoros Tzouramanis, Michael Vassilakopoulos & Yannis Manolopoulos

Authors
  1. Theodoros Tzouramanis
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  2. Michael Vassilakopoulos
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  3. Yannis Manolopoulos
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Editor information

Editors and Affiliations

  1. Institute of Computer Science, Academy of Sciences of the Czech Republic, Pod Vodárenskou věží 2, 182 07, Prague 8, Czech Republic

    Július Štuller

  2. Faculty of Mathematics and Physics, Charles University, Malostranské nám. 25, 118 00, Prague 1, Czech Republic

    Jaroslav Pokorný

  3. Computer Science Institute, Brandenburg University of Technology, P.O. Box 101344, 03013, Cottbus, Germany

    Bernhard Thalheim

  4. Faculty of Science, Department of Information Science, Ochanomizu University, 2-1-1 Otsuka, Bunkyo-ku, Tokyo, 112-8610, Japan

    Yoshifumi Masunaga

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© 2001 Springer-Verlag Berlin Heidelberg

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Tzouramanis, T., Vassilakopoulos, M., Manolopoulos, Y. (2001). Multiversion Linear Quadtree for Spatio-Temporal Data. In: Štuller, J., Pokorný, J., Thalheim, B., Masunaga, Y. (eds) Current Issues in Databases and Information Systems. ADBIS DASFAA 2000 2000. Lecture Notes in Computer Science, vol 1884. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44472-6_22

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  • DOI: https://doi.org/10.1007/3-540-44472-6_22

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-67977-6

  • Online ISBN: 978-3-540-44472-5

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