id
	15625
Url
	https://chloe.cnr.it/s/BiDiAr/item/15625
Resource template
	Academic Article
Resource class
	bibo:AcademicArticle
Title
	Use of a GIS predictive model for the identification of high altitude prehistoric human frequentations. Results of the Sessera valley project (Piedmont, Italy)
Creator
	Caracausi, Sandro
	Berruti, Gabriele L. F.
	Daffara, Sara
	Bertè, Davide
	Rubat Borel, Francesco
Date
	2018
Language
	eng
Abstract
	Starting from statistical samplings or anthropological dynamics hypothesis, GIS predictive models are particularly helpful for archaeological site detection. About 11,000 B.P., during the transition from the last glacial period and Holocene, there was a gradual decrease of glacier in Europe and groups of hunter-gatherers began to populate extensive lands in central-northern Europe and in the Alpine region. Currently, the most documented and known prehistoric human settlement are those located in the eastern Italian Alps, where data collected for more than thirty years allowed to formulate realistic hypothesis about the dynamics of human population in the region. In the western Alps, data about this subject are limited: the project “Survey Alta Valsessera (Piedmont, Italy)” is aimed to fill this gap by combining field research with methodologies elaborated in the eastern Alps to find traces of prehistoric and late roman human settlements. A GIS predictive model was realized in accordance with the parameters exposed in the model elaborated for the eastern Alps and the field records collected. This GIS predictive modelling allowed to identify different areas with high archaeological potential. Two of the areas so identified have been investigated in 2016 and two new sites have been localized.
Is Part Of
	Quaternary International
Doi
	https://doi.org/10.1016/j.quaint.2018.05.038
Issn
	1040-6182
Pages
	ott-20
Volume
	490
Homepage
	https://www.zotero.org/groups/5293298/bidiar/items/ARZPIITJ/item-list

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