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首页> 外文期刊>The anatomical record: advances in integrative anatomy and evolutionary biology >Development and Assessment of Fully Automated and Globally Transitive Geometric Morphometric Methods, With Application to a Biological Comparative Dataset With High Interspecific Variation
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Development and Assessment of Fully Automated and Globally Transitive Geometric Morphometric Methods, With Application to a Biological Comparative Dataset With High Interspecific Variation

机译：开发和评估全自动和全球及时几何形态学方法，应用于具有高间隙变异的生物对比数据集

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ABSTRACT Automated geometric morphometric methods are promising tools for shape analysis in comparative biology, improving researchers’ abilities to quantify variation extensively (by permitting more specimens to be analyzed) and intensively (by characterizing shapes with greater fidelity). Although use of these methods has increased, published automated methods have some notable limitations: pairwise correspondences are frequently inaccurate and pairwise mappings are not globally consistent (i.e., they lack transitivity across the full sample). Here, we reassess the accuracy of published automated methods—cPDist (Boyer et al. Proc Nat Acad Sci 108 ([Boyer DM, 2011]) 18221–18226) and auto3Dgm (Boyer et al.: Anat Rec 298 ([Boyer DM, 2015b]) 249–276)—and evaluate several modifications to these methods. We show that a substantial percentage of alignments and pairwise maps between specimens of dissimilar geometries were inaccurate in the study of Boyer et al. (Proc Nat Acad Sci 108 ([Boyer DM, 2011]) 18221–18226), despite a taxonomically partitioned variance structure of continuous Procrustes distances. We show these inaccuracies are remedied using a globally informed methodology within a collection of shapes, rather than relying on pairwise comparisons (c.f. Boyer et al.: Anat Rec 298 ([Boyer DM, 2015b]) 249–276). Unfortunately, while global information generally enhances maps between dissimilar objects, it can degrade the quality of correspondences between similar objects due to the accumulation of numerical error. We explore a number of approaches to mitigate this degradation, quantify their performance, and compare the generated pairwise maps (and the shape space characterized by these maps) to a “ground truth” obtained from landmarks manually collected by geometric morphometricians. Novel methods both improve the quality of the pairwise correspondences relative to cPDist and achieve a taxonomic distinctiveness comparable to auto3Dgm. Anat Rec, 301:636–658, 2018. ? 2017 Wiley Periodicals, Inc.
机译：摘要自动化几何形态学方法是对比较生物学中的形状分析的有希望的工具，提高研究人员的能力广泛（通过允许分析更多的样品）和集中（通过具有更大保真度的形状）。虽然使用这些方法增加了，但公开的自动化方法具有一些显着的限制：成对对应关系经常不准确，并且成对映射不是全局一致的（即，它们缺乏整个样本的传递率）。在这里，我们重新评估已发布的自动化方法 - CPDIST的准确性 - CPDIST（Boyer等人。Proc Nat Acad Sci 108（[Boyer DM，2011]）和Auto3DGM（Boyer等，Anat Rec 298（[Boyer DM， 2015B]）249-276） - 评估对这些方法的几种修改。我们表明，在Boyer等人的研究中，不同几何形状标本之间的大量比对和成对地图是不准确的。 （PROC NAT ACAD SCI 108（[Boyer DM，2011]）18221-18226），尽管连续营销距离的分类学分区方差结构。我们显示这些不准确性在形状集合中使用全局通知的方法来纠正，而不是依赖于成对比较（C.f.Boyer等：Anat Rec 298（[Boyer DM，2015b]）249-276）。不幸的是，虽然全局信息通常增强不同对象之间的映射，但由于数值误差的累积，它可以降低类似对象之间的对应质量。我们探讨了减少这种降级的许多方法，量化其性能，并将生成的成对地图（以及由这些地图的形状空间）与由几何形态学的手动收集的地标中获得的“地面真理”进行比较。新的方法既相对于CPDIST提高了成对对应的质量，并达到了与AUTO3DGM相当的分类学区。 ANAT REC，301：636-658,2018。？ 2017年Wiley期刊，Inc。

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