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A New Object-Oriented Approach towards GIS Seamless Spatio-Temporal Data Model Construction

  • Conference paper
Pervasive Computing and the Networked World (ICPCA/SWS 2012)

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 7719))

Abstract

Spatio-temporal data model has been recognized as the foundation of the description of spatiotemporal characteristic for geographic entity. In this paper we present a new way to construct seamless spatio-temporal data model and explore the spatiotemporal evolution and the data storage process for a spatial object from both space and time point of view. In addition, this data model has been used to organize and manage city cadastral information for evaluation purpose. It will improve the ability to construct, save and query integrated spatio-temporal data during the dynamic evolution process of geographic entity in our physical world.

This reseach was supported by Guangxi Natural Science Foundation;The project was funded by Guangxi Key Laboratory of Spatial Information and Geomatics.

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Author information

Authors and Affiliations

  1. School of Geomatics and Geoinformation, Guilin University of Technology, Guilin, China, 541004

    Jingwen Li, Yanling Lu, Junren Chen & Yu Fu

  2. Guangxi Key Laboratory of Spatial Information and Geomatics, Guilin, China, 541004

    Jingwen Li, Yanling Lu, Junren Chen & Yu Fu

  3. Corporate ICT, Birmingham City University, Birmingham, UK, B42 2SU

    Jizheng Wan

  4. School of Computer Science, University of Birmingham, Birmingham, UK, B15 2TT

    Jizheng Wan

Authors
  1. Jingwen Li
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  2. Jizheng Wan
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  3. Yanling Lu
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  4. Junren Chen
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  5. Yu Fu
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Editor information

Editors and Affiliations

  1. Wuhan University of Technology, Heping Road 1178, Wuchang District, 430081, Wuhan, Hubei, China

    Qiaohong Zu

  2. Hayes Park Central, Fujitsu Laboratories of Europe Ltd., Hayes End Road, UB4 8FE, Hayes, Middlesex, UK

    Bo Hu

  3. Department of Electrical and Electronics Engineering, Aksaray University, Merkez Kampüsü, 68100, Aksaray, Turkey

    Atilla Elçi

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© 2013 Springer-Verlag Berlin Heidelberg

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Li, J., Wan, J., Lu, Y., Chen, J., Fu, Y. (2013). A New Object-Oriented Approach towards GIS Seamless Spatio-Temporal Data Model Construction. In: Zu, Q., Hu, B., Elçi, A. (eds) Pervasive Computing and the Networked World. ICPCA/SWS 2012. Lecture Notes in Computer Science, vol 7719. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37015-1_26

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  • DOI: https://doi.org/10.1007/978-3-642-37015-1_26

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-37014-4

  • Online ISBN: 978-3-642-37015-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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