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The Use of Elliptical Fourier Analysis on Orbit Shape in Human Skeletal Remains

机译:椭圆形傅里叶分析对人体骨骼轨道形状的影响

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Human orbit shape has been previously analyzed with a few non-specific landmarks or with subjective shape descriptions. This study uses elliptical Fourier analysis, a landmark-free method of measurement, to quantify the entire shape of the orbit and test the influence of sex, age, ancestry, and geographic location on orbit shape. Digital photographs were taken of 162 individuals of known sex, age and ancestry from the skeletal collections in Knoxville, Tennessee and Pretoria, South Africa. Orbit contours were traced from the photos and then analyzed in the elliptical Fourier program "SHAPE v. 1.3". Principal component (PC) values from SHAPE were analyzed for significant contributing variables using an ANCOVA. In the full sample, PCs 1, 2, 4, and 5 were affected by at least one of the independent variables. Of these, geographical location figured prominently in 3 of the PCs. This underscores the importance of considering environmental effects over genetic ancestral affinities when analyzing human variation. Sex and the interaction between ancestry and continent of origin also significantly affected orbit shape. Although two PCs show some similarities to established descriptors of orbit shape, other components reveal more shape variation than have been previously prescribed. The corners of the orbits, features that are not captured in many current metric analyses, appear to play a significant role in shape variation. The technique used for this study proved to be effective in detecting significant contributing variables influencing human orbit shape. The study focused on descriptive analyses, but the quantitative data allows for the formulation of discriminant functions. These should not be hastily constructed as other variables associated with orbit shape remain unexplained.
机译:先前已经用几个非特定地标或主观形状描述分析了人轨道形状。本研究采用椭圆形傅里叶分析,一种自由地标测量方法,量化轨道的整个形状,并测试性别,年龄,祖先和地理位置对轨道形状的影响。从南非克诺克斯维尔,田纳西州和比勒陀利亚,南非的骨骼收藏,拍摄了数码照片的162个人的已知性行为,年龄和祖先。从照片中追踪轨道轮廓,然后在椭圆形傅里叶程序“形状v”中分析。使用Ancova分析来自形状的主成分(PC)来自形状的值,以获得重要的贡献变量。在完整的样本中,PC 1,2,4和5受到独立变量中的至少一个的影响。其中,地理位置在3个PC中占据突出。这在分析人类变异时考虑对基因祖先亲情的环境影响的重要性。性别和祖先与原籍大陆之间的相互作用也显着影响了轨道形状。虽然两台PC与轨道形状的建立描述符显示出一些相似之处,但其他组件揭示了比先前规定的更多形状变化。轨道的角落,在许多当前度量分析中未捕获的功能,似乎在形状变化中发挥着重要作用。用于本研究的技术证明是有效地检测影响人轨道形状的重要贡献变量。该研究的重点是描述性分析,但定量数据允许制定判别函数。这些不应匆匆构造,因为与轨道形状相关的其他变量仍然是未解释的。

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