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Abstract

Researchers studying mammalian dentitions from functional and adaptive perspectives increasingly have moved towards using dental topography measures that can be estimated from 3D surface scans, which do not require identification of specific homologous landmarks. Here we present molaR, a new R package designed to assist researchers in calculating four commonly used topographic measures: Dirichlet Normal Energy (DNE), Relief Index (RFI), Orientation Patch Count (OPC), and Orientation Patch Count Rotated (OPCR) from surface scans of teeth, enabling a unified application of these informative new metrics. In addition to providing topographic measuring tools, molaR has complimentary plotting functions enabling highly customizable visualization of results. This article gives a detailed description of the DNE measure, walks researchers through installing, operating, and troubleshooting molaR and its functions, and gives an example of a simple comparison that measured teeth of the primates Alouatta and Pithecia in molaR and other available software packages. molaR is a free and open source software extension, which can be found at the doi:10.13140/RG.2.1.3563.4961 (molaR v. 2.0) as well as on the Internet repository CRAN, which stores R packages.

Details

Title
Introducing molaR: a New R Package for Quantitative Topographic Analysis of Teeth (and Other Topographic Surfaces)
Author
Pampush, James D 1 ; Winchester, Julia M 2 ; Morse, Paul E 3 ; Vining, Alexander Q 1 ; Boyer, Doug M 1 ; Kay, Richard F 1 

 Department of Evolutionary Anthropology, Duke University, Durham, NC, USA 
 Interdepartmental Doctoral Program in Anthropological Sciences, Stony Brook University, Stony Brook, NY, USA 
 Department of Anthropology, University of Florida, Gainesville, FL, USA 
Pages
397-412
Publication year
2016
Publication date
Dec 2016
Publisher
Springer Nature B.V.
ISSN
10647554
e-ISSN
15737055
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2259583364
Copyright
Journal of Mammalian Evolution is a copyright of Springer, (2016). All Rights Reserved.