Consensus Shape and Partial Warp Ordination Plot in TPSrelw: A Tutorial

Support my channel and research here: www.buymeacoffee.com/DeniseCrampton Hey everyone, in this tutorial, we're going to learn about two important techniques for analyzing shape data: consensus shape and partial warp ordination plot. We'll be using TPSrelw, a widely used software for landmark-based geometric morphometrics, to explore these techniques. First, we'll start by explaining what consensus shape is and how it can be used to represent the average shape of a set of specimens. We'll walk you through the steps of generating a consensus shape in TPSrelw and show you how to visualize and interpret the results. Next, we'll introduce the concept of partial warp ordination plot, which is a method for visualizing shape variation in a set of specimens. We'll explain how partial warp scores are calculated and how to generate a partial warp ordination plot in TPSrelw. We'll also show you how to interpret the plot and identify the main sources of shape variation. By the end of this tutorial, you'll have a solid understanding of these two techniques and how to apply them to your own shape data using TPSrelw. Whether you're studying biological shape variation, investigating the morphological changes in fossils, or analyzing the shapes of cultural artifacts, this tutorial will give you the tools you need to explore and interpret your data. Thanks for watching, and don't forget to like, comment, and subscribe for more tutorials on TPSrelw and other topics in geometric morphometrics. I'm by no means an expert, but if you have any questions please don't hesitate to get in contact: [email protected] 💡 Enjoying my tutorials? Support my work! 💡 If my videos have helped you with research, PhD, Master's, or undergraduate studies,, consider supporting me on Buy Me a Coffee! Your support helps me create more free educational content and improve future tutorials. ☕ Buy me a coffee here: https://buymeacoffee.com/denisecrampton Thank you for your support—it really helps keep this channel going! 😊