Autor segons l'article: Pedergnana A; Calandra I; Evans AA; Bob K; Hildebrandt A; Ollé A
Departament: Història i Història de l'Art
Autor/s de la URV: Ollé Cañellas, Andreu
Resum: © 2020 Pedergnana et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Metrology has been successfully used in the last decade to quantify use-wear on stone tools. Such techniques have been mostly applied to fine-grained rocks (chert), while studies on coarse-grained raw materials have been relatively infrequent. In this study, confocal microscopy was employed to investigate polished surfaces on a coarse-grained lithology, quartzite. Wear originating from contact with five different worked materials were classified in a data-driven approach using machine learning. Two different classifiers, a decision tree and a support-vector machine, were used to assign the different textures to a worked material based on a selected number of parameters (Mean density of furrows, Mean depth of furrows, Core material volume-Vmc). The method proved successful, presenting high scores for bone and hide (100%). The obtained classification rates are satisfactory for the other worked materials, with the only exception of cane, which shows overlaps with other materials. Although the results presented here are preliminary, they can be used to develop future studies on quartzite including enlarged sample sizes.
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Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
Adreça de correu electrònic de l'autor: andreu.olle@urv.cat
Identificador de l'autor: 0000-0002-8643-5536
Data d'alta del registre: 2023-02-19
Versió de l'article dipositat: info:eu-repo/semantics/publishedVersion
Enllaç font original: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0243295
Referència a l'article segons font original: Plos One. 15 (12 December): e0243295-
Referència de l'ítem segons les normes APA: Pedergnana A; Calandra I; Evans AA; Bob K; Hildebrandt A; Ollé A (2020). Polish is quantitatively different on quartzite flakes used on different worked materials. Plos One, 15(12 December), e0243295-. DOI: 10.1371/journal.pone.0243295
URL Document de llicència: https://repositori.urv.cat/ca/proteccio-de-dades/
DOI de l'article: 10.1371/journal.pone.0243295
Entitat: Universitat Rovira i Virgili
Any de publicació de la revista: 2020
Tipus de publicació: Journal Publications