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Numerical ecology

Autumn semester (jährlich wiederkehrende Veranstaltung)

Dozierende

Alexandre Buttler

Lernziel
  • Introduction to multivariate data analysis and modelling
  • Critical choice of methods and their integration in a research planningPreparation to
  • personal research activities
  • Use of dedicated R libraries.

Keywords

Multivariable analysis, statistics for complexe data sets

Inhalt
  • Biological and environmental descriptors, multidimensional data, coding and transformation
  • Resemblance and dependence measures, association matrices
  • Analysis of discontinuities: clustering techniques
  • Regression and classification trees
  • Gradient analysis: ordination techniques in reduce space
  • Direct gradient analysis: constrained ordination
  • Statistical tests for multivariable responses