546-0115/01 – Multicriterial analyses CANOCO (CANOCO)

Gurantor departmentDepartment of Environmental EngineeringCredits2
Subject guarantorIng. Hana Švehláková, Ph.D.Subject version guarantorIng. Hana Švehláková, Ph.D.
Study levelundergraduate or graduateRequirementCompulsory
Year1Semestersummer
Study languageCzech
Year of introduction2018/2019Year of cancellation
Intended for the facultiesHGFIntended for study typesFollow-up Master
Instruction secured by
LoginNameTuitorTeacher giving lectures
KRE71 Ing. Hana Švehláková, Ph.D.
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Credit 0+2
Part-time Credit 0+8

Subject aims expressed by acquired skills and competences

Students will be able to work in CANOCO 5 environment, especially analysis, synthesis and interpretation of data - ie. ecological data collection, control, transformation, classification and ordination of including visualization of results.

Teaching methods

Lectures
Tutorials
Project work

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.

Compulsory 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

Recommended 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, ISBN 0444892494. 1998.

Way of continuous check of knowledge in the course of semester

Presentation of semestral work Final test

E-learning

Other requirements

Presentation of semestral work Final test

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

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. Visualization of multidimensional data. Interpretation of diagrams. 14. Design of experiments - manipulation vs. natural experiments.

Conditions for subject completion

Conditions for completion are defined only for particular subject version and form of study

Occurrence in study plans

Academic yearProgrammeField of studySpec.ZaměřeníFormStudy language Tut. centreYearWSType of duty
2020/2021 (N0724A290007) Brownfields Technical Redevelopment K Czech Most 1 Compulsory study plan
2020/2021 (N0724A290007) Brownfields Technical Redevelopment K Czech Ostrava 1 Compulsory study plan
2020/2021 (N0724A290007) Brownfields Technical Redevelopment P Czech Ostrava 1 Compulsory study plan
2020/2021 (N0724A290006) Preventive Approaches in Environmental Protection P Czech Ostrava 1 Compulsory study plan
2020/2021 (N0724A290006) Preventive Approaches in Environmental Protection K Czech Ostrava 1 Compulsory study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner