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Spatial Methods for Archaeological Flood Risk: The Case Study of the Neolithic Sites in the Apulia Region (Southern Italy)

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Computational Science and Its Applications – ICCSA 2014 (ICCSA 2014)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8579))

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Abstract

Archaeological risk maps are very important both for archaeological research and for urban and territorial planning. Spatial analysis can help to improve existing methods at the local scale. In this paper spatial analysis, that is map algebra and point pattern analysis, are used, for an area characterized by several Neolithic Sites located in the Tavoliere di Puglia (Southern Italy), to 1) calculate the archaeological vulnerability with an improved predictive model that considers spatial autocorrelation together with environmental factors, 2) assess the flooding hazard with the use of morphometric indexes; that have been made spatially distributed in order to improve the effectiveness of results, 3) carry out an archaeological risk map for flooding that shows a high risk level for already known archaeological sites and areas with a high probability to find new sites.

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Author information

Authors and Affiliations

  1. CNR-IBAM, C/da S. Loja Zona industriale, 85050-I, Tito Scalo, PZ, Italy

    Maria Danese, Dario Gioia, Marilisa Biscione & Nicola Masini

Authors
  1. Maria Danese
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  2. Dario Gioia
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  3. Marilisa Biscione
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  4. Nicola Masini
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Editor information

Editors and Affiliations

  1. School of Engineering, University of Basilicata, 85100, Potenza, Italy

    Beniamino Murgante

  2. Department of Computer and Information Sciences, Covenant University, Ota, Nigeria

    Sanjay Misra

  3. Department of Production and Systems, University of Minho, 4710-057, Braga, Portugal

    Ana Maria A. C. Rocha

  4. DICAR, Polytecnico di Bari, 70125, Bari, Italy

    Carmelo Torre

  5. University of Minho, Braga, Portugal

    Jorge Gustavo Rocha  & Maria Irene Falcão  & 

  6. Monash University, 3800, Clayton, VIC, Australia

    David Taniar

  7. Department of Intelligent Informatics, Kyushu Sangyo University, 2-3-1 Matsukadai, 813-8503, Higashi-ku, Fukuoka, Japan

    Bernady O. Apduhan

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

    Osvaldo Gervasi

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Danese, M., Gioia, D., Biscione, M., Masini, N. (2014). Spatial Methods for Archaeological Flood Risk: The Case Study of the Neolithic Sites in the Apulia Region (Southern Italy). In: Murgante, B., et al. Computational Science and Its Applications – ICCSA 2014. ICCSA 2014. Lecture Notes in Computer Science, vol 8579. Springer, Cham. https://doi.org/10.1007/978-3-319-09144-0_29

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  • DOI: https://doi.org/10.1007/978-3-319-09144-0_29

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-09143-3

  • Online ISBN: 978-3-319-09144-0

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