<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Geometric Morphometrics on Vaibhav Patel</title><link>https://vaipatel.com/tags/geometric-morphometrics/</link><description>Recent content in Geometric Morphometrics on Vaibhav Patel</description><image><title>Vaibhav Patel</title><url>https://vaipatel.com/</url><link>https://vaipatel.com/</link></image><generator>Hugo -- gohugo.io</generator><language>en-us</language><lastBuildDate>Tue, 07 Jan 2020 06:51:08 +0000</lastBuildDate><atom:link href="https://vaipatel.com/tags/geometric-morphometrics/index.xml" rel="self" type="application/rss+xml"/><item><title>Semilandmarks: Abridged</title><link>https://vaipatel.com/posts/semilandmarks-abridged/</link><pubDate>Tue, 07 Jan 2020 06:51:08 +0000</pubDate><guid>https://vaipatel.com/posts/semilandmarks-abridged/</guid><description>In Geometric Morphometrics the study of the shape of a species begins at the identification of homologous landmarks across specimens in a dataset.
Think the tip of the nose, or the corner of the eye.
The patterns in landmark variations that survive the locations and orientations of the specimens are taken to represent true shape variations.
But, as explained in Semilandmarks in Three Dimensions 1, homologous regions don’t always neatly fit into discrete landmarks.</description></item></channel></rss>