Section: Archaeology
Topic: Archaeology

Surface texture analysis in Toothfrax and MountainsMap® SSFA module: Different software packages, different results?

10.24072/pcjournal.204 - Peer Community Journal, Volume 2 (2022), article no. e77.

Get full text PDF Peer reviewed and recommended by PCI

The scale-sensitive fractal analysis (SSFA) of dental microwear textures is traditionally performed using the software Toothfrax. SSFA has been recently integrated to the software MountainsMap® as an optional module. Meanwhile, Toothfrax support has ended. Before switching to the new module, the outputs between the two software packages must be compared for consistency. We have performed such a test using Bayesian modelling on three datasets including dental surfaces of sheep (Merceron, Ramdarshan, et al., 2016) and guinea pigs (Winkler, Schulz-Kornas, Kaiser, Cuyper, et al., 2019) from controlled feeding experiments, as well as surfaces of quartzite and flint flakes used in an actualistic archeological experiment on cleaning procedures (Pedergnana, Calandra, Bob, et al., 2020). We found that the two software packages calculate significantly different values for the SSFA parameters epLsar, Asfc, HAsfc9 and R2, even when the same settings are used. Nevertheless, the treatments (different diets or cleaning procedures) are discriminated similarly within each dataset. While the new software module is as good as the original software to differentiate treatments, our results imply that the outputs from the two software packages are not directly comparable and, as such, cannot be merged. Surface texture analysts should therefore consider re-analyzing published surfaces before integrating them in their studies.

Published online:
DOI: 10.24072/pcjournal.204
Type: Research article
Calandra, Ivan 1; Bob, Konstantin 2; Merceron, Gildas 3; Blateyron, François 4; Hildebrandt, Andreas 2; Schulz-Kornas, Ellen 5, 6; Souron, Antoine 7; Winkler, Daniela E. 6, 8, 9

1 Römisch-germanisches Zentralmuseum, MONREPOS – Neuwied, Germany
2 Scientific Computing and Bioinformatics, Institute of Computer Science, Johannes Gutenberg University – Mainz, Germany
3 PALEVOPRIM, UMR CNRS 7262, University of Poitiers – Poitiers, France
4 Digital Surf – Besançon, France
5 Department of Cariology, Endodontology and Periodontology, University of Leipzig – Leipzig, Germany
6 Leibniz Institute for the Analysis of Biodiversity Change, Center for Taxonomy and Morphology, Section Mammalogy and Paleoanthropology, Zoological Museum – Hamburg, Germany
7 CNRS, MCC, PACEA, UMR 5199, University of Bordeaux – Pessac, France
8 Department of Natural Environmental Studies, Graduate School of Frontier Sciences, The University of Tokyo – Chiba, Japan
9 Institute of Geosciences, Applied and Analytical Paleontology, Johannes Gutenberg University – Mainz, Germany
License: CC-BY 4.0
Copyrights: The authors retain unrestricted copyrights and publishing rights
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     title = {Surface texture analysis in {Toothfrax} and {MountainsMap{\textregistered}} {SSFA} module: {Different} software packages, different results?},
     journal = {Peer Community Journal},
     eid = {e77},
     publisher = {Peer Community In},
     volume = {2},
     year = {2022},
     doi = {10.24072/pcjournal.204},
     url = {https://peercommunityjournal.org/articles/10.24072/pcjournal.204/}
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Calandra, Ivan; Bob, Konstantin; Merceron, Gildas; Blateyron, François; Hildebrandt, Andreas; Schulz-Kornas, Ellen; Souron, Antoine; Winkler, Daniela E. Surface texture analysis in Toothfrax and MountainsMap® SSFA module: Different software packages, different results?. Peer Community Journal, Volume 2 (2022), article  no. e77. doi : 10.24072/pcjournal.204. https://peercommunityjournal.org/articles/10.24072/pcjournal.204/

Peer reviewed and recommended by PCI : 10.24072/pci.archaeo.100024

Conflict of interest of the recommender and peer reviewers:
The recommender in charge of the evaluation of the article and the reviewers declared that they have no conflict of interest (as defined in the code of conduct of PCI) with the authors or with the content of the article.

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