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Transferring Indicators into Different Partitions of Geographic Space

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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

Nowadays, spatial analysis led on complex phenomenon implies the usage of data available on heterogeneous territorial meshes, that is to say misaligned meshes. Then, combine these data requires the transfer of each dataset into a common spatial support that can be exploited. This is known as the Change Of Support Problem (COSP). However, it appears that transfer methods are numerous, and they are often linked with a regression model, and other parameters whose selection and tuning may not be straight forward for a non-expert user. Furthermore, the process is also very dependent from both the nature of the data to be transferred and their quality. This paper first proposes a brief overview of some available transfer methods, giving the premises for the characterization of each method. A use case illustrates a transfer operation, and reveals its main difficulties.

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Author information

Authors and Affiliations

  1. LIG, Laboratoire d’Informatique de Grenoble, 681 rue de la Passerelle, Domaine Universitaire, BP 72, 38 402, St Martin d’Hères cedex, France

    Christine Plumejeaud, Paule-Annick Davoine & Jérôme Gensel

  2. UMR 6012 ESPACE CNRS, Université d’Avignon, 74, rue Louis Pasteur, 84029, Avignon cedex 1, France

    Julie Prud’homme

Authors
  1. Christine Plumejeaud
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  2. Julie Prud’homme
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  3. Paule-Annick Davoine
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  4. Jérôme Gensel
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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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Plumejeaud, C., Prud’homme, J., Davoine, PA., Gensel, J. (2010). Transferring Indicators into Different Partitions of Geographic Space. 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_34

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  • DOI: https://doi.org/10.1007/978-3-642-12156-2_34

  • 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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