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Last update: Mgr. Michal Štefánek (04.05.2022)
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Last update: Mgr. Michal Štefánek (04.05.2022)
Bookstein, F.L. 1991: Morphometric tools for landmark data: geometry and biology. Cambridge University Press, New York.
Legendre, P. & Legendre, L. 1998: Numerical ecology. Second English edition. Elsevier, Amsterdam.
Lepš, J. & Šmilauer, P. 2003: Multivariate analysis of ecological data using CANOCO. Cambridge University Press, Cambridge, etc.
Macleod, N. & Forey, P. 2002: Morphology, shape and phylogeny. Taylor and Francis, London, New York.
Marcus, L.F., Corti, M., Loy, A., Naylor, G.J.P. & Slice, D.E., eds., 1996: Advances in morphometrics. NATO ASI Series A: Life Sciences 284.
Podani, J. 2000: Introduction to the exploration of multivariate biological data. Backhuys Publishers, Leiden. |
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Last update: Mgr. Michal Štefánek (04.05.2022)
written test and oral examination |
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Last update: Mgr. Michal Štefánek (04.05.2022)
Comparison of phenetic and cladistic (parsimony) approach to the reconstruction of evolutionary relationships, their advantages and disadvantages; alternative approaches (maximum likelihood, Bayesian method); special features of geometrical morphometrics. Classification of characters and their use; coefficients expressing relationships between objects or characters; genetic distances; standardisation and transformation of data. Cluster analysis; methods of cluster analysis, their advantages and disadvantages; ties. Ordination methods; principal components analysis (PCA), geometrical interpretation, types of PCA; principal coordinates analysis; non-metric multidimensional scaling, stress. Discriminant analysis, requirements for data; canonical discriminant analysis; classificatory discriminant analysis, classificatory rules; stepwise discriminant analysis. Analysis of shape, geometrical morphometrics; landmarks; Bookstein shape coordinates; Procrustes analysis; thin plate splines, deformations; shape analysis (eigenshape analysis, Fourier analysis). |