Upon completion of the course, the student should be able to
Manipulate, extract and treat quantitative data from different geodata sources
Explain the theoretical principles in the analysis and modelling of geographical data
Develop appropriate work plans for spatial analyses and apply these to issues in the earth sciences
Interpret and extract information from satellite data for various purposes in the earth sciences
Formulate, carry out and present an independent earth science - related project using remote sensing and GIS
The course focuses on various aspects of geoinformatics with applications in the earth sciences, such as the acquisition of data from different sources for application in the earth sciences, geographic data quality, simpler morphometric and selection analyses of spatial data, geostatistics and interpolation, spatial regression analyses, the principles of satellite image interpretation, and the presentation of spatial data. A significant part of the course focuses on computer-based applications, which provides a view of the various possibilities and limitations in the use of GIS and remote sensing in physical geography, hydrology and geology.
Teaching is conducted as lectures and exercises. The course contains a problem-oriented project work that is conducted in groups. Project work, exercises and seminars are mandatory. Subject-integrated communications training, including feedback and self-evaluation, are included in the course.
Assessment is divided amongst exercises (3 credits) and project work (2 credits)
week 30, 2017
De Smith, Michael John;
Goodchild, Michael F.;
Longley, Paul A.
Geospatial analysis : a comprehensive guide to principles, techniques and software tools