Geometric Morphometrics and Machine Learning Models Applied to the Study of Late Iron Age Cut Marks from Central Spain
Source abstract
Abstract
Recently the incorporation of artificial intelligence has allowed the development of valuable methodological advances in taphonomy. Some studies have achieved great precision in identifying the carnivore that produced tooth marks. Additionally, other works focused on human activity have managed to specify what type of tool or raw material was used in the filleting processes identified at the sites. Through the use of geometric morphometrics and machine learning techniques, the present study intends to analyze the cut marks of the Ulaca oppidum (Solosancho, Ávila, Spain) in order to identify the type of tools used during carcass modification. Although the Ulaca oppidum is an Iron Age site, the results suggest that most of the cut marks were produced with flint tools.
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Research context
OpenAlex topics: Pleistocene-Era Hominins and Archaeology · Forensic Anthropology and Bioarchaeology Studies · Image Processing and 3D Reconstruction
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Cartographic and Land Engineering, Higher Polytechnic School of Ávila, Universidad de Salamanca, C/Hornos Caleros, 50, 05003 Ávila, Spain
Department of Prehistory, Ancient History and Archaeology, Complutense University of Madrid, Prof. Aranguren s/n, 28040 Madrid, Spain
Research Group: Arqueología Prehistórica, Complutense University, 28040 Madrid, Spain
Department of Geology, Universidad del País Vasco, Barrio Sarriena s/n, 48940 Leioa, Spain
Department of Human Sciences, University of La Rioja, C/Luis de Ulloa, 2, 26004 Logroño, Spain
C.A.I. Archaeometry and Archaeological Analysis, Complutense University, 28040 Madrid, Spain
Research Group: Ecosistemas Cuaternarios, Complutense University, 28040 Madrid, Spain
Funding
Euskal Herriko Unibertsitatea · Ministerio de Ciencia e Innovación · Fundación Española para la Ciencia y la Tecnología · MCIN/AEI/10.13039/501100011033 · European Union “NextGenerationEU”/PRTR
References (83)
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