id
	10678
Url
	https://chloe.cnr.it/s/BiDiAr/item/10678
Resource template
	Academic Article
Resource class
	bibo:AcademicArticle
Title
	Cluster analysis, classificazione numerica e remote sensing. Metodi di analisi integrati applicati alla survey presso San Basilio di Ariano nel Polesine (RO)
Creator
	Iadicicco, Giulia
	Vicenzutto, David
	Paltineri, Silvia
Date
	2022
Language
	ita
Rights
	https://creativecommons.org/licenses/by-nc-nd/4.0/deed.en CC BY-NC-ND 4.0
Abstract
	This paper focuses on a multidisciplinary approach used mainly in the post-processing of the data collected in the intensive survey carried out in 2018 in San Basilio di Ariano nel Polesine (RO). At first, the interpretation of aerial photos and the DTM processing for the area of San Basilio have been used to identify features of the ancient landscape before the field survey, in order to better plan the investigations; the results of the analysis on remote sensing and DTM data have been also used during the post-processing phase. Then, the data collected in the field have been digitalized, organized and processed in a database and a GIS, using both cluster analysis and data classification. The research has allowed us not only to confirm and expand the context of the historical and environmental evolution of the area during pre-Roman and Roman period, but also to reflect on the methodology used for the data collection and processing within an intensive field survey. In particular, cluster analysis and numerical classification methods have been compared in order to better understand their potentialities and limits in the data analysis.
Is Part Of
	https://chloe.cnr.it/s/BiDiAr/item/2002
Cites
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Doi
	https://doi.org/10.19282/ac.33.2.2022.04
Issue
	2
Pages
	53-76
Uri
	https://www.archcalc.cnr.it/journal/articles/1201
Volume
	33
Homepage
	https://www.zotero.org/groups/5293298/bidiar/items/MEPLW7QE/item-list

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