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Geostatistics Applied to the Geoprospective

GP-SET. krige method theory and application

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Computational Science and Its Applications -- ICCSA 2015 (ICCSA 2015)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9156))

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Abstract

Big Data provides the ability to describe many living environment dimensions, from administrative data. Territorial scales allow decision-making but are not sufficiently accurate to establish effective policies tailored to the needs of sustainable development.

Geographic Information Systems (GIS) can integrate any kinds of data. Unfortunately GIS are still used without exactly knowing the methods implemented, or having geographic knowledge of the phenomena studied. Very different results can be obtained with a same dataset. The inappropriate use of GIS is damaging for prospective studies derived from spatial analysis.

The goal of geoprospective is to develop robust methods to address these challenges. GP-SET.krige makes two spatiotemporal indicators that accurately model the spatial spread of human phenomena and their uncertainty. It is based on univariable geostatistics. Applied to census data, GP-SET.krige precisely models the potential to have a demographic growth in the next ten years.

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Author information

Authors and Affiliations

  1. UMR 7300 ESPACE (CNRS), Nice University, 98 Boulevard Edouard Herriot, BP 3209, 06204, Nice, France

    Stéphane Bourrelly

Authors
  1. Stéphane Bourrelly
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Correspondence to Stéphane Bourrelly .

Editor information

Editors and Affiliations

  1. University of Perugia, Perugia, Italy

    Osvaldo Gervasi

  2. University of Basilicata, Potenza, Italy

    Beniamino Murgante

  3. Covenant University, Canaanland, Nigeria

    Sanjay Misra

  4. University of Calgary, Calgary, Alberta, Canada

    Marina L. Gavrilova

  5. University of Minho, Braga, Portugal

    Ana Maria Alves Coutinho Rocha

  6. Polytechnic University, Bari, Italy

    Carmelo Torre

  7. Monash University, Clayton, Victoria, Australia

    David Taniar

  8. Kyushu Sangyo University, Fukuoka, Japan

    Bernady O. Apduhan

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Bourrelly, S. (2015). Geostatistics Applied to the Geoprospective. In: Gervasi, O., et al. Computational Science and Its Applications -- ICCSA 2015. ICCSA 2015. Lecture Notes in Computer Science(), vol 9156. Springer, Cham. https://doi.org/10.1007/978-3-319-21407-8_21

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  • DOI: https://doi.org/10.1007/978-3-319-21407-8_21

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-21406-1

  • Online ISBN: 978-3-319-21407-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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