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Landmark Typology in Applied Morphometrics Studies: What's the Point?
Sebastian K T S Wärmländer1,2,3, Heather Garvin4, Pierre Guyomarc'h5
1Department of Biochemistry and Biophysics, Stockholm University, 106 91, Stockholm, Sweden.
Anatomical Record (Hoboken, N.J. : 2007)
|October 27, 2018
Summary
The classification of landmarks in biological shape analysis shows significant variation across studies. Landmark typology is not reliably correlated with measurement reproducibility and can confuse research design.
Area of Science:
- Morphological analysis
- Biological shape analysis
- Geometric morphometrics
Background:
- Landmarks are essential for biological shape analysis, serving as discrete anatomical points.
- Bookstein's widely used system classifies landmarks into three types based on anatomical location and biological significance.
- This typology has been used to justify landmark selection or exclusion in analyses due to perceived differences in information content and reliability.
Purpose of the Study:
- To investigate the consistency of landmark classification in geometric morphometrics (GM).
- To evaluate the correlation between landmark type and measurement reproducibility.
- To assess the utility of landmark typology in applied GM research.
Main Methods:
- Reviewed 17 studies employing geometric morphometrics.
- Analyzed variations in landmark classifications based on Bookstein's typology and individual landmark definitions.
- Examined literature for correlations between landmark type and measurement reproducibility, considering measurement tools and data sources.
Main Results:
- Demonstrated considerable variation in landmark classifications among studies, indicating disagreement in applying Bookstein's typology and definitions.
- Found little correlation between landmark type and measurement reproducibility.
- Identified that measurement tools and data sources significantly impact reproducibility, independent of landmark type.
Conclusions:
- Landmark typology, while useful for teaching, introduces confusion in research design and offers little practical information.
- Researchers should prioritize landmark configurations that test specific hypotheses.
- Justification of landmark choices, definitions, collection methods, and reproducibility analyses are crucial for applied GM studies.