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The quantitative assessment of archaeological artifact groups: Beyond geometric morphometrics
MacLeod, Norman1,2,3
2018-12-01
Source PublicationQUATERNARY SCIENCE REVIEWS
ISSN0277-3791
Volume201Pages:319-348
Abstract

Archaeologists often wish to distinguish between groups of cultural artifacts using information collected from descriptions or measurements of their morphological forms. Morphometric methods have played an increasingly large role in such quantitative assessments. However, standard approaches to morphometric analyses are often poorly suited to many artifact types as much variation of interest to archeologists cannot be quantified adequately by sparse sets of landmarks or semilandmarks. Use of measurement conventions also requires that investigators know which aspects of the artifacts under consideration are important to include at the outset of an investigation. In this review results obtained from landmark-semilandmark-based, and image pixel-based assessments of a common set of Paleoindian fluted projectile points are compared. Results confirm that, by itself, PCA is unsuited for the assessment of between-group differences irrespective of data type, but can be useful as a transformation to reduce the dimensionality of a morphological dataset while retaining its effective information content. Landmark-semilandmark data analysed using geometric morphometric methods delivered the lowest-quality results whereas image pixel data analysed by the Naive Bayes machine-learning classifier delivered the highest. Direct analyses of artifact images using geometric morphometric methods delivered very good results. These findings suggest that the direct analyses of digital images and 3D scans, using either geometric morphometric data-analysis methods or machine-learning procedures, can provide archaeologists with tools that improve and extend the scope of their assessments of a wide range of artifact types. (C) 2018 Published by Elsevier Ltd.

KeywordQuaternary Paleogeography North America Data Analysis Projectile Points Paleoindian Typology Morphometrics Discriminant Analysis Machine Learning
DOI10.1016/j.quascirev.2018.08.024
Language英语
WOS KeywordClovis Point ; Essentialism Story ; Projectile Points ; Late Pleistocene ; Site ; Association ; Variability ; Evolution ; Mammoth ; Remains
WOS Research AreaPhysical Geography ; Geology
WOS SubjectGeography, Physical ; Geosciences, Multidisciplinary
WOS IDWOS:000452934700019
PublisherPERGAMON-ELSEVIER SCIENCE LTD
Citation statistics
Document Type期刊论文
Identifierhttp://ir.nigpas.ac.cn/handle/332004/16187
Collection中国科学院南京地质古生物研究所
Corresponding AuthorMacLeod, Norman
Affiliation1.Nat Hist Museum, Cromwell Rd, London SW7 5BD, England
2.UCL, Dept Earth Sci, Gower St, London WC1E 6BT, England
3.Chinese Acad Sci, Nanjing Inst Geol & Palaeontol, 39 Beijing, Nanjing, Jiangsu, Peoples R China
Recommended Citation
GB/T 7714
MacLeod, Norman. The quantitative assessment of archaeological artifact groups: Beyond geometric morphometrics[J]. QUATERNARY SCIENCE REVIEWS,2018,201:319-348.
APA MacLeod, Norman.(2018).The quantitative assessment of archaeological artifact groups: Beyond geometric morphometrics.QUATERNARY SCIENCE REVIEWS,201,319-348.
MLA MacLeod, Norman."The quantitative assessment of archaeological artifact groups: Beyond geometric morphometrics".QUATERNARY SCIENCE REVIEWS 201(2018):319-348.
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