The students are able to

• apply basic principles of spatial and non-spatial data analysis techniques
• describe basic methods of spatial statistics
• explain principles of cartography and spatial visualization
• design and implement environmental data analysis workflows
• design maps and communicate visually using maps

None

This module teaches

• attributive and spatial analysis methods for vector data
• point-pattern analysis
• raster-based spatial analysis methods
• raster-based spatial analysis workflows and models
• digital terrain analysis
• the basics of (computer) cartography including knowledge of how digital technologies can be used in the construction and visualization of spatial information in the form of maps
• practical work with Open Source GIS

De Smith M. J., Goodchild M.F., Longley P.A.: Geospatial Analysis. 6th edition, The Winchelsea Press. 2018
Slocum T.A., McMaster R.B., Kessler F.C., Howard H.H.: Thematic cartography and geovisualization. 3rd Edition. Pearson. 2009
MacEachren A.M.: How Maps Work: Representation, Visualization, and Design. The Guilford Press. 2005
Krygier J., Wood D.: Making Maps: A Visual Guide to Map Design for GIS. The Guilford Press. 2005

Lectures, practical lab exercises, interactive work, problem-based learning

Integrated module examination
Immanent examination character:
Active Participation in class, short tests, lab assignments, presentations