A Gis-Based Archaeological Predictive Model for the Study of Protohistoric Location-Allocation Strategies (Eastern Lessinia, VR/VI)

Authors

  • Anita Casarotto Dipartimento di Archeologia, Università di Bologna, Italia
  • Armando De Guio Department of Archaeology, University of Padua
  • Francesco Ferrarese Department of Geography, University of Padua
  • Giovanni Leonardi Department of Archaeology, University of Padua

DOI:

https://doi.org/10.6092/issn.1974-7985/2448

Keywords:

Archaeological Predictive Modelling, Multi Criteria Evaluation, Fuzzy logic, GIS, Cultural Resource Management (CRM)

Abstract

The paper proposes a predictive model to simulate an ancient landscape in the Eastern Lessinia (Northeastern Italy) during the Bronze Age and the Iron Age. The aim is to calculate, using GIS tools, the optimal locations for settlements considering some environmental factors that could have affected human decisions. By exploiting GIS suitability maps, it has been possible to predict the presence of undiscovered archaeological sites: this methodology could provide a powerful tool for Cultural Resource Management.

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Published

2011-12-16

How to Cite

Casarotto, A., De Guio, A., Ferrarese, F., & Leonardi, G. (2011). A Gis-Based Archaeological Predictive Model for the Study of Protohistoric Location-Allocation Strategies (Eastern Lessinia, VR/VI). IpoTesi Di Preistoria, 4(2), 1–24. https://doi.org/10.6092/issn.1974-7985/2448

Issue

Vol. 4 No. 2 (2011)

Section

Papers

License

Copyright (c) 2011 Anita Casarotto, Armando De Guio, Francesco Ferrarese, Giovanni Leonardi

Copyright for articles published in this journal is retained by the authors, with first publication rights granted to the journal. The authors agree when submitting their work that it can be copied by anyone for noncommercial purposes but only if proper credit is given. Thus by virtue of their appearance in this open access journal, the articles have been declared free to use, with proper attribution, in noncommercial settings. All authors are responsible for the content of their work, including proper citation, attribution and usage permissions.