Estimating the "memory of landscape" to predict changes in archaeological settlement patterns
- Others:
- Cultural Landscape and Urban Environment (CLUE) ; Vrije Universiteit Amsterdam [Amsterdam] (VU)
- Laboratoire Chrono-environnement (UMR 6249) (LCE) ; Centre National de la Recherche Scientifique (CNRS)-Université de Franche-Comté (UFC) ; Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC)
- Maison des Sciences de l'Homme et de l'Environnement Claude Nicolas Ledoux (UAR 3124) (MSHE) ; Centre National de la Recherche Scientifique (CNRS)-Université de Franche-Comté (UFC) ; Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC)
- Culture et Environnements, Préhistoire, Antiquité, Moyen-Age (CEPAM) ; Université Nice Sophia Antipolis (1965 - 2019) (UNS) ; COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)
- Università degli Studi di Siena = University of Siena (UNISI)
- NWO (the Netherlands Organisation for Scientific Research) under the VIDI Innovational Research Incentives Scheme (project number 276-61-005), VU University Amsterdam internship as part of a II level University Master in GIS and Remote Sensing at the Centre for GeoTechnologies (University of Siena), funded by a scholarship for postgraduate studies from the Sicilian Region (Sovvenzione Globale PO FSE SICILIA 2007-2013), CNRS-Université de Franche-Comté and CNRS-Université de Nice.
- Stefano Campana University of Cambridge, Faculty of Classics & McDonald Institute for Archaeological Research University of Siena Dept. History and Cultural Heritage & Roberto Scopigno Institute for Computer Science and Technologies – CNR Pisa
- S. Campana
- R. Scopigno
- G. Carpentiero and M. Cirillo
Description
In this paper, we present a method to calculate a "land use heritage map" based on the concept of "memory of landscape". Such a map can be seen as one variable among others influencing site location preference, and can be used as input for predictive models. The computed values equate to an index of long-term land use intensity. We will first discuss the method used for creating the land use heritage map, for which kernel density estimates are used.We will then present the use of these land use heritage maps for site location analysis in two study areas in SE France. Earlier analyses showed that the influence of the natural environment on settlement location choice in the Roman period is limited. In contrast, land use heritage seems to have a stronger influence on the placement of new settlements. We will discuss the implications for predictive modelling of settlement patterns.
Abstract
ISBN 9781784913373. £129.00. Also available in Open Access. ISBN 9781784913380 (http://archaeopress.com/ArchaeopressShop/Public/displayProductDetail.asp?id={27710CAF-069B-43D3-A53B-4BB1A293F456})
Abstract
International audience
Additional details
- URL
- https://hal.science/hal-01252715
- URN
- urn:oai:HAL:hal-01252715v1
- Origin repository
- UNICA