SubjectsSubjects(version: 953)
Course, academic year 2023/2024
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Geometric morphometrics - MB120P27
Title: Geometrická morfometrika
Czech title: Geometrická morfometrika
Guaranteed by: Department of Botany (31-120)
Faculty: Faculty of Science
Actual: from 2022
Semester: summer
E-Credits: 2
Examination process: summer s.:
Hours per week, examination: summer s.:1/1, C [HT]
Capacity: unlimited
Min. number of students: 5
4EU+: no
Virtual mobility / capacity: no
State of the course: taught
Language: Czech
Explanation: Zapíše-li si předmět do SISu závazně alespoň pět studentů,Rozvrh a místo konání budou upřesněny před začátkem semestru.
Note: enabled for web enrollment
Guarantor: prof. RNDr. Jiří Neustupa, Ph.D.
Teacher(s): prof. RNDr. Jiří Neustupa, Ph.D.
Annotation -
If there are no international students the lectures are given in Czech language only. The course is focused on some of the methods of geometric morphometrics in biology. The aim of the course is to provide the basic background to the GM methods and to use them with different relevant software packages [TPS package, R (geomorph, shapes, Momocs), PAST] by analysing different model data sets. The course should be attended after or in parallel with the lecture B120P83 "Introduction to phenetics and cladistics" and some of the courses focused on using the R software.
Last update: Neustupa Jiří, prof. RNDr., Ph.D. (10.10.2017)
Syllabus -

1. Introduction (internet resources, software). Outline methods, the preparation of objects for elliptic Fourier analysis (EFA).
2. 2-D EFA - digitalisation of outlines, harmonic coefficients, processing and interpretation of results, reconstruction of outlines (software: SHAPE and PAST).
3. Landmark methods - digitalisation of landmarks, Bookstein shape coordinates, generalised Procrustes analysis, thin plate spline. Principal and partial warps, analysis of relative warps - the influence of parameter ?. Multivariate regression of independent variables to shape variables, method of partial least squares. Reconstruction od theoretical or averagwe shapes. CVA of shape variables in the course of analysis of group differences. Software: TPS package and IMP.
4. Semilandmarks. The application of landmark methods to structures without homologous landmarks points. The generation of semilandmarks, their application by GM analysis. Software: TPS package.

Literature:
1. Dryden, I.L. & Mardia, K.V. (1998): Statistical shape analysis. - John Wiley & Sons, New York.
2. http://life.bio.sunysb.edu/morph/

Last update: Neustupa Jiří, prof. RNDr., Ph.D. (10.10.2017)
 
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