PřF:Bi7540 Data anal. commun. ecology - Course Information
Bi7540 Data analysis in community ecology
Faculty of ScienceAutumn 2003
- Extent and Intensity
- 2/0/0. 2 credit(s) (fasci plus compl plus > 4). Type of Completion: zk (examination).
- Teacher(s)
- prof. RNDr. Milan Chytrý, Ph.D. (lecturer)
- Guaranteed by
- prof. RNDr. Milan Chytrý, Ph.D.
Department of Botany and Zoology – Biology Section – Faculty of Science
Contact Person: prof. RNDr. Milan Chytrý, Ph.D. - Prerequisites (in Czech)
- ( Bi5040 Biostatistics - basic course || B5040 Biostatistics )&&(! B7540 Data anal. commun. ecology )
Pro dobré porozumění probírané látce je vhodné absolvovat předmět B5040 Biostatistika. Užitečné, nikoliv ale nezbytné, je dřívější absolvování předmětu B6549 Metody fytocenologie. - Course Enrolment Limitations
- The course is also offered to the students of the fields other than those the course is directly associated with.
- fields of study / plans the course is directly associated with
- Biology - Museology (programme PřF, M-BI, specialization Botany)
- Systematic Biology and Ecology (programme PřF, B-BI, specialization Systematic Botany and Ecology)
- Systematic Biology and Ecology (programme PřF, M-BI, specialization Systematic Botany and Ecology)
- Systematic Biology and Ecology (programme PřF, N-BI, specialization Systematic Botany and Ecology)
- Course objectives
- The course deals with basic methods of statistical analysis of the data on species composition of plant and animal communities, irrespective of their taxonomical delimitation. The focus is on numerical classification and ordination methods and analysis of the relationships between species composition and environmental factors. The course includes training in using standard software packages such as PC-ORD, SYN-TAX, CANOCO, SPSS, and some others.
- Syllabus
- Introduction to community ecology.
- Field sampling, sampling design.
- Data handling: computer programs.
- Pattern analysis: distance and blocked-quadrat methods.
- Measuring community diversity.
- Standardizations and transformations of data.
- Numerical classification - cluster analysis and TWINSPAN.
- Gradient analysis.
- Regression.
- Calibration.
- Ordination - PCA, CA, DCA.
- Constrained ordination - CCA.
- Statistical models of succession - Markov chains.
- Computer programs SYN-TAX, CANOCO, SPSS, TURBEK, TWINSPAN.
- Case studies.
- Literature
- Assessment methods (in Czech)
- Ve výuce je vysvětlována teorie a předváděny počítačové programy. K zápočtu student zpracovává soubor dat, buď svých vlastních nebo dat od učitele, pomocí probíraných klasifikačních a ordinačních metod. Zpracované analýzy předkládá ve formě krátké zprávy v angličtině. K zápočtu je rovněž požadována teorie v pozadí jednotlivých metod.
- Language of instruction
- Czech
- Further Comments
- The course can also be completed outside the examination period.
The course is taught annually.
The course is taught: every week. - Listed among pre-requisites of other courses
- Enrolment Statistics (Autumn 2003, recent)
- Permalink: https://is.muni.cz/course/sci/autumn2003/Bi7540