Geometric Morphometrics Full Course (Landmarks, PCA, SPSS, R) for Biologists
Denise Crampton
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Geometric Morphometrics Full Course (Landmarks, PCA, SPSS, R) for Biologists
4 909 просмотров · 1 г. назад
Denise Crampton
2,79 тыс. подписчиков
4 909 просмотров · 1 г. назад
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This comprehensive video combines my entire Geometric Morphometrics tutorial series into one seamless guide! Whether you're a beginner or a researcher, this series walks you through every step of the workflow—from specimen preparation to advanced analysis in R.
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What You’ll Learn:
🔎 Intro: An overview of the series, introducing the practical and statistical methods behind geometric morphometrics.
🛠️ Part 1: Practical setup for morphometric analysis—how to reduce error, properly pin specimens, and set up for digitization.
🎨 Part 2: Editing photographs in GIMP—adjusting colour balance, brightness, contrast, cropping, and removing backgrounds for clear and consistent images.
📐 Part 3: Preparing and landmarking images—using TPSUtil to build files, digitizing landmarks in TPSDig, curve landmarking, and exporting coordinates.
📊 Part 4: Statistical analysis in MorphoJ—importing data, performing Procrustes superimposition, generating lollipop diagrams, wireframes, transformation grids, PCA, CVA, and exporting results.
📈 Part 5: Analyzing landmark data in SPSS for statistical testing and data interpretation.
📊 Part 6: Introduction to analyzing morphometric data in R—covering data import, basic statistical analyses, and visualization techniques.
📉 Part 7: Advanced data visualization in R—creating detailed and engaging plots to effectively present morphometric results.
Why Watch This Series?
✔️ Full workflow from specimen preparation to advanced data visualization
✔️ Covers essential tools: TPSUtil, TPSDig, MorphoJ, GIMP, SPSS, and R
✔️ Ideal for research in morphology, ecology, evolution, and palaeontology
If this video helped you, please like, subscribe, and turn on notifications for more tutorials on morphometric analysis and scientific data visualization. Share your thoughts or questions in the comments—I’d love to hear from you!
#GeometricMorphometrics #MorphoJ #TPSDig #ShapeAnalysis #EvolutionaryBiology #DataAnalysis #Rstats