Objectifying processes: The use of geometric morphometrics and multivariate analyses on Acheulean tools

IF 1.1 0 ARCHAEOLOGY
Paula García-Medrano, Elías Maldonado-Garrido, N. Ashton, A. Ollé
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引用次数: 22

Abstract

Nowadays, the fruitful discussion regarding the morphological variability of handaxes during the Middle Pleistocene has reached a decisive moment with the use of more accurate statistical methods, such as geometric morphometrics (GM) and multivariate analyses (MA). This paper presents a preliminary methodological approach for checking the utility of these new approaches on the analysis of the tools’ shape. It goes beyond the simple description of morphology and isolates the variables which define the final morphology of a tool. We compared two Middle Pleistocene sites, Boxgrove and Swanscombe, which are morphologically very different. Then, we applied the GM analysis on 1) 2D images, with two semi-landmark distributions: 28 semi-landmarks, specially concentrated on the tip and butt, and 60 equally spaced points; and 2) on 3D models using new software (AGMT3-D Software) including 5000 semi-landmarks. The more points used to define the tool’s outline, the more accurate will be the interpretation of the variables affecting shape. On the other hand, if the semi-landmarks are localized on specific sectors of the tool, a bias is created, by concentrating on those sectors, rather than the general tool shape. The 3D models offer a new dimension on the shape analysis, as their results mean the combination of plan-shape, profile-shape and the tool’s topography.
物化过程:几何形态计量学和多元分析在阿舍利工具上的应用
随着几何形态计量学(GM)和多变量分析(MA)等更为精确的统计方法的应用,对中更新世手斧的形态变异进行了卓有成效的探讨。本文提出了一种初步的方法方法来检验这些新方法在刀具形状分析中的效用。它超越了形态的简单描述,并分离了定义工具最终形态的变量。我们比较了两个中更新世遗址,Boxgrove和Swanscombe,它们的形态差异很大。然后,我们将GM分析应用于1)二维图像,该图像具有两种半地标分布:28个半地标,特别集中在尖端和臀部,60个等间距点;2)使用新软件(AGMT3-D软件)建立三维模型,包括5000个半地标。用来定义刀具轮廓的点越多,对影响形状的变量的解释就越准确。另一方面,如果半地标定位在工具的特定部分,则会产生偏差,因为集中在这些部分,而不是一般的工具形状。三维模型的结果是平面形状、轮廓形状和刀具表面形貌的结合,为刀具的形状分析提供了一个新的维度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
自引率
10.00%
发文量
6
审稿时长
8 weeks
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