Multicriterial analyses CANOCO

Multicriterial analyses CANOCO
546-0115/01
čeština Multicriterial analyses CANOCO
546-0115/02
angličtina

Summary

Within the course the students will be acquainted with basic methods of multidimensional data analysis in CANOCO 5 environment. Emphasis will be placed on the use of biocenological data, their collection, control, transformation, classification and ordination, studies design, hypothesis creation and their testing.

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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Language of instruction	čeština, angličtina
Code	546-0115
Abbreviation	CAN
Course title	Multicriterial analyses CANOCO
Coordinating department	Department of Environmental Engineering
Course coordinator	Ing. Hana Švehláková, Ph.D.