300452 VO Multivariate statistical methods in ecology (2015W)
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Blocked course February 8- February 12 2016, HS 1 2A120 Geo-Zentrum (1. OG, UZA II), 0900-1200. Course language is English. Note combination with UE (same name, delivered by Robert Ptacnik).
Details
Language: English
Examination dates
Lecturers
Classes
Voresprechung am 6.10.2015, 15:00 Uhr im Seminarraum Limnologie (3.Ebene), UZA I).
Blocked course: February 8 -February 12 2016, HS I Geozentrum, 9-12. Note combination with UE .
Information
Aims, contents and method of the course
Statistical data analysis in ecology: descriptive statistics, univariate statistical tests (t-tests, U-test, analysis of variance), bivariate data analysis (correlation, linear and non-linear regression), selected regression models (multiple linear regression, ANCOVA, GLM, GAM), commonly used classic unconstrained and constrained ordination methods: principal component analysis (PCA), canonical correspondence analysis (CCA), redundancy analysis (RDA), distance/dissimilarity-based unconstrained and constrained ordination methods: metric and non-metric multi-dimensional scaling (MDS, NMDS), canonical analysis of principal coordinates (CAP), multivariate hypothesis tests (PERMANOVA, permutation tests based on ordinations).
Assessment and permitted materials
Presence throughout the course is not necessary, but strongly recommended to allow following the practical courses in the afternoons. The lecture mark is based on a written examination that can be taken on February 12 (in the last lecture), or on an alternative date in March 2016.
Minimum requirements and assessment criteria
Successful participants will gain a working understanding of the mathematical and computational mechanics behind the most commonly used statistical methods in ecology. They will understand how to interpret graphical and tabular output from univariate, bivariate and multivariate analyses of ecological datasets as presented in scientific papers and reports. The lecture also explains backgrounds of statistical thinking, hypothesis testing, study planning and experimental design.
Examination topics
The course is scheduled as one block in February 2016 (Feb-8 to Feb-12, mornings). The lecture should be attended in combination with the practical course (UE) with the same title and taking place in the same period in the afternoons. A course handout will be provided.
Reading list
Quinn, G. P. & M. J. Keough. 2002. Experimental Design and Data Analysis for Biologists. Cambridge University Press, Cambridge, 537 pp.
Association in the course directory
MEC-5, UF MA BU 01, UF MA BU 04,
Last modified: Sa 22.10.2022 00:30