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300452 VO Multivariate statistische Methoden in der Ökologie - VO (2014W)
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Blocked course February 9- February 13 2015, 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
Sprache: Englisch
Prüfungstermine
Lehrende
Termine
Vorbesprechung/First meeting: 7.10.2013, 16:00, KR Ökologie.
Information
Ziele, Inhalte und Methode der Lehrveranstaltung
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).
Art der Leistungskontrolle und erlaubte Hilfsmittel
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 13 (in the last lecture), or on an alternative date in March 2015.
Mindestanforderungen und Beurteilungsmaßstab
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.
Prüfungsstoff
The course is scheduled as one block in February 2015 (Feb-9 to Feb-13, 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.
Literatur
Quinn, G. P. & M. J. Keough. 2002. Experimental Design and Data Analysis for Biologists. Cambridge University Press, Cambridge, 537 pp.
Zuordnung im Vorlesungsverzeichnis
MEC-5, MOE I-3
Letzte Änderung: Mo 07.09.2020 15:43