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This course, 11 days long (with 9 days of work), focuses on major modern approaches to the analysis of multivariate data, and is designed for researchers and students in all fields of biology and nature protection. Course participants are expected to bring results of their own projects and sufficient time, as well as consultations from both lecturers, are offered to apply methods mastered during the course to their own datasets. We provide in-depth lectures and practicals about following topics:

- Classical ordination methods (principal component analysis PCA, correspondence analysis CA, detrended correspondence analysis DCA, metric and non-metric multidimensional scaling NMDS)
- Constrained ordination methods (redundancy analysis RDA, canonical correspondence analysis CCA) including partial analyses, stepwise selection of explanatory variables, variation partitioning, and Monte Carlo permutation tests of multivariate hypotheses
- Methods of visualizing results of ordination methods with the CanoDraw for Windows program, including a thorough explanation of how the ordination diagrams should be interpreted

In addition, we provide brief overviews of classification methods (cluster analysis, TWINSPAN), experimental design, and modern regression methods (GLM, GAM, regression trees).

 

 

 

Jan "Šuspa" Lepš, PhD
is professor in biostatistics and plant ecology. His research interests include:
- experimental studies of species coexistence
- multivariate methods for experimental data analysis
- spatial patterns in plant communities
- tropical ecology
  
Petr Šmilauer, PhD
is associate professor in statistical ecology, with interests in:
- multivariate statistical methods
- modern regression methods
- plant ecology (root ecology and endomycorrhizal symbiosis)
- software development, including knowledge-base engineering and expert systems development

He is co-author of the new version of Canoco for Windows and Twinspan for Windows software and the sole author of the CanoDraw for Windows program 

 

Dates
The participants will arrive on Tuesday, 20 January 2009 during the afternoon. The course starts on morning 21 January and ends with a farewell party on Friday, 30 January 2009.

Deadline - Payment
 We need to receive your payment before 1st December 2008.
 If you apply for substantially lower early-payment rate, we must receive your payment before 1st October 2008!