Lecture Synopsis
This lecture focuses on measuring and identifying population structure in landscape genetics. The lecture has the following learning objectives:
1. Explain the concept of population structure.
2. Understand the tradeoffs in population-based and individual-based inferences of population structure.
3. Describe and interpret exploratory data analyses, such as principal components analysis (PCA), when applied to population genetic data.
4. Describe and interpret a population cluster analysis, as well as understand the assumptions and limitations of these methods.
5. Understand how geographically explicit approaches can improve cluster analyses.
Chapter 7 of Textbook (Clustering and assignment methods in landscape genetics)
Week 9 Slides
Exercise
Note that interactive R tutorials, R exercises, and associated videos are only available for Weeks 1 - 8. From now on, LandGenCourse will only have weekly Worked Examples.
The week's Worked Example an be accessed here: https://bookdown.org/hhwagner1/LandGenCourse_book/Week9.html
Conceptual exercise for Week 9 (please ignore that it's labelled week 10)
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