Here, we present an R package to extract, visualize and generate otolith shape data with a small number of easy-to-use functions. The advantage of using such methods in population identification is that they are cost effective and only require otolith images from which outlines can be extracted and analysed with statistical software. With outline analysis it is possible to quantify boundary shapes so that patterns of shape variation within and among groups can be evaluated based on a large number of independent variables. For otolith shape analysis, two main morphometric methods are used: landmark analysis and outline analysis. Morphometric analysis of otoliths is a well-established method to delineate fish stocks, characterize population movements and to detect the natal origin of fish. This does not alter the authors' adherence to all the PLOS ONE policies on sharing data and materials, as detailed online in the guide for authors. There are no patents, products in development or marketed products to declare. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.Ĭompeting interests: The authors have the following interests: they received an award from a commercial source (Íslandsbanki) when developing this R package. 100710001, LAL), the Assistantship Fund of the University of Iceland ( LAL) and by The Entrepreneur Fund of Íslandsbanki ( LAL, SP). This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are creditedĭata Availability: Data from this study are fully available on GitHub ( ) along with the R package and all source code.įunding: This work was funded by the Icelandic Research Fund for Graduate Students (grant nr. Received: NovemAccepted: FebruPublished: March 24, 2015Ĭopyright: © 2015 Libungan, Pálsson. Patterson, Department of Agriculture, AUSTRALIA PLoS ONE 10(3):Īcademic Editor: Heather M. Citation: Libungan LA, Pálsson S (2015) ShapeR: An R Package to Study Otolith Shape Variation among Fish Populations.
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