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Practical Morphometrics Analysis (2D Model)

LeeAndro

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Trusted Editor
Practical Morphometrics Analysis (2D Model)
Last updated 1/2020
Duration: 7 hours | 19 Lectures | Video: 1280x720, 44 KHz | 4.2 GB
Genre: eLearning | Language: English + Sub

Morphometrics has experienced a major revolution through the invention of coordinate-based methods, the discovery of the statistical theory of shape, and the computational realization of deformation grids.


A step-by-step approach to morphometrics based on two-dimensional images

What you'll learn

Introduction to morphometrics covering definitions, traditional morphometrics and geometric morphometrics

Landmarks and acqusition tools covering landmark types (anatomical or biological, mathematical, pseudo-landmarks), landmark homology, landmark acquisition tools and how to use, and error assessment with Procrustes ANOVA

Landmarks Visualization covering General Procrustes Analysis (GPA), visualization tools, scatter plots of landmark coordinates, Principal Component Analysis (PCA),Thin-Plate Spline (TPS) deformation grids, arrows, lollipops and other visualizations based on landmark displacements

Statistical methods and Analysis covering ANOVA, MANOVA, ANOSIM/PERMANOVA, regression & allometry, discriminant analysis and canonical variates analysis

Requirements

Introductory college-level science, eeering or social science

Basic knowledge of statistics

Knowledge of shape or image analysis will be an added advantage

Description

The ubiquitous application of fast personal computers and modern analytical tools have ushered in a new era of data analysis, peting the exploration and visualization of large high-dimensional data sets along with exact statistical tests based on resampling procedures. This new morphometric approach has been termed geometric morphometrics as it preserves the geometry of the landmark configurations throughout the analysis and thus pes to represent statistical results as actual shapes or forms. Therefore, these lectures aim at teaching practically, the concept of statistical shape analysis from 2D images. To encourage learning by exploration; images, annotations and data reports from the hand study are made available for .

Who this course is for:




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