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Design of a Dynamic Land-Use Change Probability Model Using Spatio-Temporal Transition Matrix

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Computational Science and Its Applications – ICCSA 2010 (ICCSA 2010)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6016))

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Abstract

This study aims to analyze land use patterns using time-series satellite images of Seoul Metropolitan Area for the past 30 years, and present a macroscopic model for predicting future land use patterns using Markov Chain based probability model, and finally examine its applicability to Korea. Several Landsat MSS and TM images were used to acquire land-use change patterns and dynamic land-use change patterns were categorized from the classified images. Finally, spatio-temporal transition matrices were constructed from the classified images and applied them into a Markov Chain based model to predict land-use changes for the study area.

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Author information

Authors and Affiliations

  1. Institute of Urban Sciences, University of Seoul, Seoul, Korea

    Yongjin Joo

  2. Dept. of Geoinformatics, University of Seoul, Seoul, Korea

    Chulmin Jun

  3. Dept. of Geoinformatic Engineering, Inha University, Incheon, Korea

    Soohong Park

Authors
  1. Yongjin Joo
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  2. Chulmin Jun
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  3. Soohong Park
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Editor information

Editors and Affiliations

  1. Clayton School of Information Technology, Monash University, 3800, Clayton, VIC, Australia

    David Taniar

  2. Department of Mathematics and Computer Science, University of Perugia, Via Vanvitelli, 1, Perugia, 06123, Italy

    Osvaldo Gervasi

  3. L.I.S.U.T. - D.A.P.I.T., University of Basilicata, Viale dell’Ateneo Lucano 10, Potenza, 85100, Italy

    Beniamino Murgante

  4. Department of Computer Science and Computer Engineeering, LaTrobe University, 3086, Bundoora, VIC, Australia

    Eric Pardede

  5. Department of Intelligent Informatics, Kyushu Sangyo University, 813-8503, Fukuoka, Japan

    Bernady O. Apduhan

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© 2010 Springer-Verlag Berlin Heidelberg

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Joo, Y., Jun, C., Park, S. (2010). Design of a Dynamic Land-Use Change Probability Model Using Spatio-Temporal Transition Matrix. In: Taniar, D., Gervasi, O., Murgante, B., Pardede, E., Apduhan, B.O. (eds) Computational Science and Its Applications – ICCSA 2010. ICCSA 2010. Lecture Notes in Computer Science, vol 6016. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12156-2_8

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  • DOI: https://doi.org/10.1007/978-3-642-12156-2_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-12155-5

  • Online ISBN: 978-3-642-12156-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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