To boldly go where no one has gone before: integrating social factors in site location analysis and predictive modelling, the hierarchical types map
Fiche du document
12 novembre 2020
- handle: 10670/1.pw43ez
- hal: hal-01678020
- doi: 10.15496/publikation-43234
Ce document est lié à :
info:eu-repo/semantics/altIdentifier/doi/10.15496/publikation-43234
info:eu-repo/semantics/OpenAccess
Sujets proches
Modelmaking Modelling Model-making Molding (Clay, plaster, etc.) Clay modeling Modelling Factors Agents, Manufacturers' Manufacturers' representatives Factors Methods of analysis Analysis and chemistry Analytical methods Chemical analysis Analysis methods Analysis and examinationCiter ce document
Antonin Nüsslein et al., « To boldly go where no one has gone before: integrating social factors in site location analysis and predictive modelling, the hierarchical types map », HAL-SHS : archéologie, ID : 10.15496/publikation-43234
Métriques
Partage / Export
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.