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所在平台: Udemy |
课程主页: https://www.udemy.com/course/practical-morphometrics-analysis-with-r/
课程评论：没有评论
课程名称：使用R进行实用形态计量分析 课程概述：形态计量学是对生物形状、形状变异及其与其他生物或非生物变量或因素之间的相关性进行定量研究的学科。这种定量化为形态学的描述和比较引入了所需的严谨性。因此，形态计量技术的应用为依赖于比较形态学的任何研究领域带来了益处。本课程提供了基于标记的几何形态计量学的基础和中级探索性技术，涵盖了学生在进行比较形态学研究时常见的基本问题。 课程内容包括： - 传统形态计量学通过长度测量、比率或角度总结形态，这些可以单独进行研究。 - 基于标记的几何形态计量学通过标记配置总结形状，具有多维特性。 - 基于轮廓的几何形态计量学通过开放或封闭曲线（周长）总结形状，通常不使用固定标记。 现代基于标记的几何形态计量学是一种强大的定量生物形状和形状变异的方法，结合了上述三种方法。课程将涵盖以下主题： - 如何获取二维和三维的标记数据 - 如何进行全局对齐（GPA）并可视化形态变异 - 如何使用ANOVA/MANOVA量化和统计比较形状变异的程度 - 如何计算标记误差（数字化误差） - 如何进行主成分分析（PCA）和全异型分析（Allometry） - 如何在Shiny应用中可视化形态计量图表 本课程适合希望深入了解形态计量分析技术的研究人员和学生。
MORPHOMETRICS IS the quantitative study of biological shape, shape variation, and covariation of shape with other biotic or abiotic variables or factors. Such quantification introduces much-needed rigor into the description of and comparison between morphologies. Application of morphometric techniques therefore benefits any research field that depends upon comparative morphology. This course serves as foundational and intermediate exploratory techniques in landmark-based geometric morphometrics. The fundamental issues that are most frequently faced by students conducting studies of comparative morphology are covered.-Traditional morphometrics involves summarizing morphology in terms of length measurements, ratios, or angles, that can be investigated individually.-Landmark-based geometric morphometrics involves summarizing shape in terms of a landmark configuration and is inherently multidimensional.-Outline-based geometric morphometrics involves summarizing the shape of open or closed curves (perimeters), typically without fixed landmarks.Meanwhile modern landmark-based geometric morphometrics is a powerful approach to quantifying biological shape, shape variation which incorporates three aforementioned approaches. The topics covered in this course include: How to acquire landmark data in 2D and 3D How to perform GPA and visualize shape variationHhow to quantify and statistically compare the amount of shape variation with ANOVA/MANOVA How to compute landmark error (digitization error)How to perform PCA and AllometryHow to visualize morphometry plots in Shiny app.
