To Boldly Go Where No One Has Gone Before: Integrating Site Location Analysis and Predictive Modelling, the Hierarchical Types Map

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Zitierfähiger Link (URI): http://hdl.handle.net/10900/101855
http://nbn-resolving.de/urn:nbn:de:bsz:21-dspace-1018550
http://dx.doi.org/10.15496/publikation-43234
Dokumentart: Konferenzpaper
Erscheinungsdatum: 2020-11-12
Sprache: Englisch
Fakultät: 5 Philosophische Fakultät
Fachbereich: Archäologie
DDC-Klassifikation: 930 - Alte Geschichte, Archäologie
Schlagworte: Standort , Vorkommen , Analyse , Rom , Antike
Freie Schlagwörter:
site location analysis
predictive modelling
socio-cultural factors
temporal factors
Roman period
Lizenz: http://creativecommons.org/licenses/by-nc-nd/3.0/de/deed.de http://creativecommons.org/licenses/by-nc-nd/3.0/de/deed.en
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Abstract:

Over the years, predictive modelling has been characterized as being environmentally deterministic, a-temporal, or even as a way of ‘effectively de-humanising the past’. Over the past ten years, however, spatial analysis of settlement patterns has progressed substantially, paying much more attention to the role of socio-cultural factors and the analysis of settlement pattern dynamics. In this paper, we will present an approach to site location analysis and predictive modelling that can be characterized as essentially data driven, yet is very much theoretically informed, and which has focused primarily on facilitating comparisons between various chrono-cultural contexts. Our experiments, that have been carried out since 2010, have mainly used data from the Roman period in various regions of France, but the general ideas and workflow can easily be transferred to other settings. To enrich the approach new developments were tested to understand the role of settlement hierarchy and its influence on the subsequent development and structuring of settlement patterns. These new developments were applied to three case study carried out in the north-east of France.

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