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GIS-Based and Statistical Approaches in Archaeological Predictive Modelling (NE Romania)

Nicu, Ionut, Mihu-Pintilie, Alin, Williamson, James·2019·Sustainability
DOI 10.3390/su11215969
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Abstract

Archaeological predictive modelling (APM) is an important method for archaeological research and cultural heritage management. This study tests the viability of a new statistical method for APM. Frequency ratio (FR) is widely used in the field of geosciences but has not been applied in APM. This study tests FR in a catchment from the north-eastern part of Romania to predict the possible location(s) of Eneolithic sites. In order to do that, three factors were used: soils, heat load index and slope position classification. Eighty percent of the sites were used to build the model, while the remaining 20% were used to externally test the model’s performance. The final APM was made with the help of GIS software and classified into four susceptibility classes: very high, high, medium and low. The success rate curve and the prediction rate curve reported values of the area under curve (AUC) of 0.72, and 0.75 respectively. The Kvamme’s Gain value for the model has a value of 0.56. Therefore, the final APM is reliable, so FR is a viable technique for APM. The final map can be successfully used in archaeological research, cultural heritage management and protection, preventive archaeology and sustainable development.

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Metadata

Authors
Nicu, I., Mihu-Pintilie, A., & Williamson, J.
Venue
Sustainability
Publisher
MDPI AG
Published
2019-10-27
Volume
11
Issue
21
Pages
5969
ISSN
2071-1050
DOI
10.3390/su11215969
Cited by
27
References
2
Language
en
Licence
creativecommons.org/licenses/by/4.0/ (vor)

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