Raster Analysis and Modeling

The course introduces raster-based spatial analysis and modeling, with a focus on applied problem-solving using GIS. Students learn fundamental concepts of raster data structures, operations, and analysis techniques, including terrain modeling, spatial interpolation, and MCDA. Practical exercises provide experience in processing and analysing raster data. As part of the course, students work in pairs to identify a spatial problem related to at least one sustainability goal according to the global Sustainable Development Goals (SDGs). Raster analysis and/or MCDA is applied to develop a solution, integrating theoretical knowledge with practical GIS applications. The results are presented in a seminar and documented in a project report. Peer review is included.

Progressive specialisation: G2F (has at least 60 credits in first‐cycle course/s as entry requirements)

Education level: Undergraduate level

Admission requirements: 60 ECTS credits completed in the Surveying Technology and Geographical IT Engineering programme or 60 ECTS credits completed in the Surveying and Mapping programme, including Geographical Information Systems, 7.5 ECTS credits, and registered for Scientific Methods in Geomatics, 7.5 ECTS credits, or equivalent

Selection: Selection is usually based on your grade point average from upper secondary school or the number of credit points from previous university studies, or both.

This course is included in the following programme

• Engineering: Surveying Technology and Geographical IT (studied during year 3)