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1. Introduction and data manipulation 2. Experimental design 3. Basics of gradient analysis 4. Using Canoco 5. Constrained ordination and permutation tests 6. Similarity measures 7. Classification methods 8. Regression methods 9. Advanced use of ordination 10. Visualising multivariate data 11. Case study 1: variation in forest bird assemblages 12. Case study 2: search for community composition patterns and their environmental correlates: vegetation of spring meadows 13. Case study 3: separating the effects of explanatory variables 14. Case study 4: evaluation of experiments in randomised complete blocks 15. Case study 5: analysis of repeated observations of species composition from factorial experiment 16. Case study 6: hierarchical analysis of crayfish community variation 17. Case study 7: differentiating two species and their hybrids with discriminant analysis.