Archeology, stone tools and RIMAPS technique A quantitive characterization of use - wear traces

Archaeology relies on material remains to attain a broad comprehensive understanding of humanevolution, creating undeniable challenges to the methodological field. Microscopy and image techniques have had a paramount role in this field of research since they provide different analytical lines to solve problems related to human tools. One of these problems entails to identify how a lithic tool was used. It is known, following the Russian researcher Sergei Semenov, that different working processes leave singular traces on the surface of a stone tool incontact with the working material [1]. The search of quantitative variables that allow characterizing these traces has been an important aimsince the beginning of the use-wear method with different degrees of success [2]. Despite of the limitations of the methods applied, most of them showed differences on lithic tools roughness and texture according to the worked material. Following this line of research, we applied Rotated Image with Maximum Average Power Spectrum (RIMAPS) technique in order to detect patterns that characterize the structural modifications that occur on stone tool as a result of its use [3]. RIMAPS is a novel characterization technique that allows revealing the orientation and characteristics of the topographic pattern of a surface.

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Main Authors: Pal, N., Alvarez, M.R., Briz, I., Dominguez, A., Favret, Eduardo Alfredo
Format: info:ar-repo/semantics/artículo biblioteca
Language:eng
Published: Microscopy Society of America 2020-04-28
Subjects:Arqueología, Archaeology, Usage Footprint, Lithic Artifacts, Huella de Uso, Artefactos Liticos, RIMAPS,
Online Access:http://hdl.handle.net/20.500.12123/8037
https://www.cambridge.org/core/journals/microscopy-and-microanalysis/article/archaeology-stone-tools-and-rimaps-technique-a-quantitive-characterization-of-usewear-traces/A5F9F4EBB10A74579231443CF2976633
https://doi.org/10.1017/S1431927620000343
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spelling oai:localhost:20.500.12123-80372020-10-13T17:34:43Z Archeology, stone tools and RIMAPS technique A quantitive characterization of use - wear traces Pal, N. Alvarez, M.R. Briz, I. Dominguez, A. Favret, Eduardo Alfredo Arqueología Archaeology Usage Footprint Lithic Artifacts Huella de Uso Artefactos Liticos RIMAPS Archaeology relies on material remains to attain a broad comprehensive understanding of humanevolution, creating undeniable challenges to the methodological field. Microscopy and image techniques have had a paramount role in this field of research since they provide different analytical lines to solve problems related to human tools. One of these problems entails to identify how a lithic tool was used. It is known, following the Russian researcher Sergei Semenov, that different working processes leave singular traces on the surface of a stone tool incontact with the working material [1]. The search of quantitative variables that allow characterizing these traces has been an important aimsince the beginning of the use-wear method with different degrees of success [2]. Despite of the limitations of the methods applied, most of them showed differences on lithic tools roughness and texture according to the worked material. Following this line of research, we applied Rotated Image with Maximum Average Power Spectrum (RIMAPS) technique in order to detect patterns that characterize the structural modifications that occur on stone tool as a result of its use [3]. RIMAPS is a novel characterization technique that allows revealing the orientation and characteristics of the topographic pattern of a surface. Fil: Pal, N. CADIC-CONICET, Ushuaia, Argentina Fil: Alvarez, M.R. CADIC - CONICET, Ushuaia, Argentina Fil: Briz, I. CADIC-CONICET; Argentina. Harvard University. D. Rockefeller Center for Latin American Studies; Estados Unidos. University of York. Department of Archaeology; Gran Bretaña Fil: Dominguez, A. CAC, CNEA, San Martin, Argentina Fil: Favret, Eduardo A. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Suelos; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas, Argentina 2020-10-13T17:19:14Z 2020-10-13T17:19:14Z 2020-04-28 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://hdl.handle.net/20.500.12123/8037 https://www.cambridge.org/core/journals/microscopy-and-microanalysis/article/archaeology-stone-tools-and-rimaps-technique-a-quantitive-characterization-of-usewear-traces/A5F9F4EBB10A74579231443CF2976633 1431-9276 1435-8115 https://doi.org/10.1017/S1431927620000343 eng info:eu-repo/semantics/openAccess application/pdf Microscopy Society of America Microscopy and Microanalysis 26 (Sup. 1) : p. 21-22 (2020)
institution INTA AR
collection DSpace
country Argentina
countrycode AR
component Bibliográfico
access En linea
databasecode dig-inta-ar
tag biblioteca
region America del Sur
libraryname Biblioteca Central del INTA Argentina
language eng
topic Arqueología
Archaeology
Usage Footprint
Lithic Artifacts
Huella de Uso
Artefactos Liticos
RIMAPS
Arqueología
Archaeology
Usage Footprint
Lithic Artifacts
Huella de Uso
Artefactos Liticos
RIMAPS
spellingShingle Arqueología
Archaeology
Usage Footprint
Lithic Artifacts
Huella de Uso
Artefactos Liticos
RIMAPS
Arqueología
Archaeology
Usage Footprint
Lithic Artifacts
Huella de Uso
Artefactos Liticos
RIMAPS
Pal, N.
Alvarez, M.R.
Briz, I.
Dominguez, A.
Favret, Eduardo Alfredo
Archeology, stone tools and RIMAPS technique A quantitive characterization of use - wear traces
description Archaeology relies on material remains to attain a broad comprehensive understanding of humanevolution, creating undeniable challenges to the methodological field. Microscopy and image techniques have had a paramount role in this field of research since they provide different analytical lines to solve problems related to human tools. One of these problems entails to identify how a lithic tool was used. It is known, following the Russian researcher Sergei Semenov, that different working processes leave singular traces on the surface of a stone tool incontact with the working material [1]. The search of quantitative variables that allow characterizing these traces has been an important aimsince the beginning of the use-wear method with different degrees of success [2]. Despite of the limitations of the methods applied, most of them showed differences on lithic tools roughness and texture according to the worked material. Following this line of research, we applied Rotated Image with Maximum Average Power Spectrum (RIMAPS) technique in order to detect patterns that characterize the structural modifications that occur on stone tool as a result of its use [3]. RIMAPS is a novel characterization technique that allows revealing the orientation and characteristics of the topographic pattern of a surface.
format info:ar-repo/semantics/artículo
topic_facet Arqueología
Archaeology
Usage Footprint
Lithic Artifacts
Huella de Uso
Artefactos Liticos
RIMAPS
author Pal, N.
Alvarez, M.R.
Briz, I.
Dominguez, A.
Favret, Eduardo Alfredo
author_facet Pal, N.
Alvarez, M.R.
Briz, I.
Dominguez, A.
Favret, Eduardo Alfredo
author_sort Pal, N.
title Archeology, stone tools and RIMAPS technique A quantitive characterization of use - wear traces
title_short Archeology, stone tools and RIMAPS technique A quantitive characterization of use - wear traces
title_full Archeology, stone tools and RIMAPS technique A quantitive characterization of use - wear traces
title_fullStr Archeology, stone tools and RIMAPS technique A quantitive characterization of use - wear traces
title_full_unstemmed Archeology, stone tools and RIMAPS technique A quantitive characterization of use - wear traces
title_sort archeology, stone tools and rimaps technique a quantitive characterization of use - wear traces
publisher Microscopy Society of America
publishDate 2020-04-28
url http://hdl.handle.net/20.500.12123/8037
https://www.cambridge.org/core/journals/microscopy-and-microanalysis/article/archaeology-stone-tools-and-rimaps-technique-a-quantitive-characterization-of-usewear-traces/A5F9F4EBB10A74579231443CF2976633
https://doi.org/10.1017/S1431927620000343
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