| Course title | Methods in Spatial Analysis |
|---|---|
| Course code | KGI/XSMSA |
| Organizational form of instruction | Exercise |
| Level of course | Master |
| Year of study | not specified |
| Semester | Winter |
| Number of ECTS credits | 2 |
| Language of instruction | English |
| Status of course | unspecified |
| Form of instruction | Face-to-face |
| Work placements | This is not an internship |
| Recommended optional programme components | None |
| Lecturer(s) |
|---|
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| Course content |
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Topological relationships (Egenhofer). Map Algebra. Distance metrics. Spatial query operators. Fuzzy metrics and algebra. Shape and land-scape metrics. Interpolation methods (trend surface, IDW, ... and cross reference to statistical methods like Kriging). Surface de-scriptors. Spatial models with gravity and radiative mechanisms. Cost surface modeling. Network: Dijkstra algorithm. Vector and raster over-lay, incl. weighted overlay and AHP. Allocation and location analysis. Nodal and homogeneous regionalization. Process model building. Spatial decision support strategies.
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| Learning activities and teaching methods |
| unspecified |
| Learning outcomes |
| Prerequisites |
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unspecified
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| Assessment methods and criteria |
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unspecified
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| Recommended literature |
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| Study plans that include the course |
| Faculty | Study plan (Version) | Category of Branch/Specialization | Recommended semester |
|---|