Research compendium for 'Benchmarking methods and data for the whole-outline geometric morphometric analysis of lithic tools'
Creators: name: Matzig, David N.
name: De Araujo, Renata Pedroso
name: Okumura, Mercedes
name: Araujo, Astolfo G. M.
name: Leplongeon, Alice
name: Wren, Colin
name: Rabuñal, José Ramón
name: Cardillo, Marcelo
name: Cruz, María Barrera
name: Riede, Felix
Publisher: name: Zenodo
Year: 2023
Subjects: archaeology
geometric morphometrics
database
lithic tools

description: <strong>Maintainer of this repository:</strong> David N. Matzig (&lt;david.matzig@cas.au.dk&gt;) <strong>Published in:</strong> Renata Pedroso de Araujo, Felix Riede, Mercedes Okumura, Astolfo G. M. Araujo, Alice Leplongeon, Colin Wren, José Ramón Rabuñal, Marcelo Cardillo, María Barrera Cruz, David N. Matzig (2023) Benchmarking methods and data for the whole-outline geometric morphometric analysis of lithic tools. <em>Evolutionary Anthropology</em>. <strong>Overview of contents and how to reproduce:</strong> This repository contains the data collaboratively collected and prepared in the workshop "Cultural evolutionary tools for stone tool shape analysis: Geometric morphometrics and Bayesian phylogenetics" hosted at the Aarhus Institute for Advanced Studies, in Aarhus, Denmark in September 2022. The dataset present in the folder `database` contains outlines together with their associated metadata of 646 artefacts collected from eight different countries, spanning a timeframe of ~18.000 to 500 years BP. For further information, please refer to the Supplementary Informations. After downloading, the results can be reproduced using `CES_2022_workshop.Rproj` and the existing folder structure. The required packages and their versions which have been used in this study are listed below and in the `DESCRIPTION`-file. All analyses and visualisations presented in this paper were prepared in R 4.2.1 under Ubuntu 18.04.5 LTS (64-bit). <strong>Required R-packages and their versions:</strong> The R code provides an example on how to load, inspect, and plot different aspects of the data. It requires the following R-packages: dplyr (&gt;= 1.0.8), ggplot2 (&gt;= 3.4.0), ggthemes (&gt;= 4.2.4), magrittr (&gt;= 2.0.2), Momocs (&gt;= 1.3.0), outlineR (&gt;= 0.1.0), raster (&gt;= 3.5-15), readr (&gt;= 2.1.2), remotes (&gt;= 2.4.2), rgeos (&gt;= 0.5-9), rworldmap (&gt;= 1.3-6), sp (&gt;= 1.4-6). <strong>Licenses:</strong> Code: MIT &lt;http://opensource.org/licenses/MIT&gt; year: 2023, copyright holder: David Nicolas Matzig
description: The authors gratefully acknowledge the Cultural Evolution Society for funding this workshop. Additional costs were covered by funds made available by the Danish Agency for Higher Education and Science (project COMARCH, grant number 1113-00015B). DNM and FR's contributions are part of CLIOARCH, an ERC Consolidator Grant project funded by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No. 817564). MO's research is funded by The São Paulo Research Foundation (FAPESP, grant No. 2018/23282-5). AGMA's research is funded by The São Paulo Research Foundation (FAPESP, grant No. 2019/18664-9). RPA's research is funded by a doctoral grant from Brazilian National Council for Scientific and Technological Development (CNPq, grant No. 142353/2019-1). AL's research is funded by a postdoctoral grant from the Research Foundation in Flanders (FWO #12U9220N). JRR is supported by Margarita Salas fellowship (MARSALAS21-22) funded by the Spanish Ministry of Universities, the European Union-Next Generation EU and the University of Alicante. We also thank the Aarhus Institute of Advanced Studies for hosting all participants during this event.