To boldly go where no one has gone before: integrating social factors in site location analysis and predictive modelling, the hierarchical types map - Archive ouverte HAL Accéder directement au contenu
Chapitre D'ouvrage Année : 2020

To boldly go where no one has gone before: integrating social factors in site location analysis and predictive modelling, the hierarchical types map

Résumé

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.
Fichier principal
Vignette du fichier
Nussleinetal_paper_atlanta_manuscritVdef_decembre2017.pdf (2.73 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Licence : CC BY NC ND - Paternité - Pas d'utilisation commerciale - Pas de modification

Dates et versions

hal-01678020 , version 1 (09-06-2023)

Identifiants

Citer

Antonin Nüsslein, Laure Nuninger, Philip Verhagen. To boldly go where no one has gone before: integrating social factors in site location analysis and predictive modelling, the hierarchical types map. Digital Archaeologies, Material Worlds (Past and Present), Proceeding of the 45th Computer Applications and Quantitative Methods in Archaeology Conference (CAA 2017 ATLANTA, USA), Universität Tübingen, pp.15-31, 2020, ⟨10.15496/publikation-43234⟩. ⟨hal-01678020⟩
184 Consultations
12 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More