Terminated in academic year 2023/2024

Multicriterial analyses CANOCO

Type of study	Follow-up Master
Language of instruction	English
Code	546-0115/02
Abbreviation	CAN
Course title	Multicriterial analyses CANOCO
Credits	2
Coordinating department	Department of Environmental Engineering
Course coordinator	Ing. Hana Švehláková, Ph.D.

Subject syllabus

1. Working with data. Types of data. Data Collection. Primary data. Data transcription and control. EDA. CDA. Data transformation
2. Ecological data and its use. Ecological similarity. Biodiversity indices. Ellenberg\'s indication values. Traits
3. Basic terminology of multicriterial statistical methods
4. Regression. Linear models. Regression curves
5. Ordination analysis. Models of species response on environment gradient. Basic ordination techniques and methods
6. Indirect gradient analysis. PCA (Principal Components Analysis). CA (Correspondence Analysis). DCA (Detrended Correspondence Analysis)
7. Direct gradient analysis. RDA (redundancy analysis). CCA (canonical correspondence ananlysis)
8. Null hypothesis. Monte Carlo permutation test. Testing statistics
9. Case study
10. Classification methods. Nonhierarchical classification
11. Classification methods. Hierarchical classification. Divisive classification
12. Case study
13. Design of experiments - manipulation vs. natural experiments

Literature

Šmilauer, P., Lepš, J. Multivariate analysis of Ecological Data using CANOCO 5.Cambridge University Press 2014.
teer BRAAK, C. J. F., ŠMILAUER, P: CANOCO 5. Reference manual and user’s guide to Canoco for Windows: Software for Ordination. Microcomputer Power, Ithaca, New York, USA.2012
Digby, P.G.N., Kempton, R.A Multivariate analysis of ecological communities. Chapman and Hall, London – New York. 1987
Legendre, P., Legendre, L. Numerical Ecology (Third English Edition). Elsevier 2012. Amsterdam.
Zuur, A.F., Ieno, E.N ,Smith, G.M. Analysing Ecological Data. Springer 2007

Advised literature

McGarigal, K., Cushman, S. & Stafford, S.G., Multivariate Statistics for Wildlife and Ecology Research, Springer, New York. 2000.
Gotelli, N.J., Ellison, A.M. A Primer of Ecological Statistics. Sinauer Associates 2004.
Oksanen, J. Multivariate Analysis in Ecology, Lecture Notes. 2004.
http://cc.oulu.fi/~jarioksa/opetus/metodi/notes.pdf
Palmer, M. Ordination methods for ecologists. http://ordination.okstate.edu/
Legendre, P., Legendre, L. Numerical Ecology, 2nd Engl. Ed., Elsevier, Amsterdam, . 1998.

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