Environmental data analysis

This course aims at introducing an efficient set of tools and methods for analysing ecological data. Covered topics:

  • Introduction to data analysis with R
  • Principles of reproducible research and implementation with R
  • Pipelines for environmental data analysis from obtaining data via cleaning and transforming to modelling and visualization with modern R
  • Data retrieval from different storage types for climate, proxy, phenology, and other data (text-based, netCDF, data bases)
  • Modeling and visualization as complementary strategies for hypothesis-driven data analysis

After this course, students are able to efficiently analyze environmental data sets, including download and import of data sets and visualization and modelling with R.