Allometry, Modularity, and Integration: Applying Biological Concepts and Statistical Tests to Stone Tool Shapes
Author(s): David Thulman; Michael Shott; Justin Williams; Alan Slade
Year: 2021
Summary
This is an abstract from the "Geometric Morphometrics in Archaeology" session, at the 86th annual meeting of the Society for American Archaeology.
Most landmark-based geometric morphometric statistical analyses of stone tools are lifted from biological applications. The concepts are not always directly applicable, leading to unfounded interpretations of statistical results. Sometimes the problem is an imprecise definition of terms, but often the problem is an imperfect translation of a biological concept to an archaeological problem. A key to proper translation can be understanding what is actually being tested in the statistics. Here, we work back from the statistical tests for allometry, modularity, and integration in the geomorph statistical R package to better understand how those biological concepts can be profitably applied to archaeology. The results give us deeper insight into how stone tools were designed and used.
Cite this Record
Allometry, Modularity, and Integration: Applying Biological Concepts and Statistical Tests to Stone Tool Shapes. David Thulman, Michael Shott, Justin Williams, Alan Slade. Presented at The 86th Annual Meeting of the Society for American Archaeology. 2021 ( tDAR id: 466882)
This Resource is Part of the Following Collections
Keywords
General
geometric morphometrics
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Lithic Analysis
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Material Culture and Technology
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Paleoindian and Paleoamerican
Geographic Keywords
North America
Spatial Coverage
min long: -168.574; min lat: 7.014 ; max long: -54.844; max lat: 74.683 ;
Record Identifiers
Abstract Id(s): 32574