SubjectsSubjects(version: 861)
Course, academic year 2019/2020
  
Multivariate methods in taxonomy - MB120P126
Title: Multivariační metody v taxonomii
Czech title: Multivariační metody v taxonomii
Guaranteed by: Department of Botany (31-120)
Faculty: Faculty of Science
Actual: from 2019
Semester: winter
E-Credits: 4
Examination process: winter s.:
Hours per week, examination: winter s.:2/1 C+Ex [hours/week]
Capacity: unlimited
Min. number of students: unlimited
State of the course: taught
Language: Czech
Additional information: http://ibot.sav.sk/usr/Karol/teaching_mat.html
Guarantor: prof. RNDr. Karol Marhold, CSc.
Teacher(s): prof. RNDr. Karol Marhold, CSc.
Mgr. Marek Šlenker
Annotation -
Last update: prof. RNDr. Karol Marhold, CSc. (06.02.2020)
Please note that the lectures are given in Czech language. English version of the course can be requested in advance if there are at least 3 students. The aim of the lectures is to provide basic theoretical background of the use of multivariate methods in taxonomy. Special attention is paid to principal components analysis, principal coordinates analysis, cluster analysis and various types of discriminant analysis. Several lectures are devoted also to the methods of geometrical morphometrics (analysis of shape). From among the morphometric programs in practicals students use the SYN-TAX 2000 and R. Lectures and practicals continue in the subject Cladistics and other methods of reconstruction of evolution - MB120P83.
Literature -
Last update: Mgr. Tomáš Fér, Ph.D. (22.04.2012)

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.

Requirements to the exam -
Last update: prof. RNDr. Karol Marhold, CSc. (03.11.2011)

written test and oral examination

Syllabus -
Last update: prof. RNDr. Karol Marhold, CSc. (10.09.2009)

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).

 
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