WZ2772 Environmental monitoring and data analysis

Content 

1 Environmental monitoring

including principles, techniques and management issues used in environmental monitoring and assessment; Observing, recording, communicating and archiving collected data and providing it to project stakeholders in order to identify sustainable and responsible environmental practices. 

Optional: short course Aerobiology, GAW program, visit of companies

2 Environmental data analysis

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; Coverage of 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, based on published research from different fields of environmental sciences.

Intended Learning Outcomes

After this combined module with lab/field measurements, lecture and computer work, the students can plan, implement and run environmental measurements. They are able to efficiently analyze environmental data sets, including download and import of data sets and visualization and modelling with R.

Description of Achievement and Assessment Methods

Research paper following standards of reproducible research including different aspects of Environmental monitoring and data analysis; the final grade is an averaged grade for the research paper including both topics of monitoring (35%) and data analysis (65%). Students should demonstrate a profound understanding of aspects of environmental monitoring and demonstrate their ability to apply and run basic environmental/meteorological measurements as well as analyze and evaluate environmental data sets efficiently with R.