- Administration, definitions, geoinformatics (slides, print)
- Geographical information systems, history, spatial reference, dimensions
Acquisition of spatial data
- Reference system, map projections
- Geodata, geometry and attributes, primary and secondary data acquisition method
- Data input, digitizing, vectorization, (semi-)automatic conversion
Geometric data analysis
- Geometric modeling, spatial interpolation, triangulation
- Constrained triangulation, freely available geodata, geodata infrastructures, WMS/WFS, OpenLayers, OpenSteetMap
Data management and modeling
- (Geo-)databases, relational/object-oriented, SQL, operators and syntax rules
- Logical data models, graphical modeling language UML, object-oriented concepts
- Cartographic presentation, design options, generalization
- Map elements, 3D building and city models, level of details, creation and model-based recognition, 3D data analysis
- Applications (LIS, RIS, UIS, NIS, FIS), strategic site planning, ...
Topological data analysis
- Network analysis, routing Problems, Dijkstra
- Traveling salesman problem, Kruskal, mimimum spanning tree, ...
Efficient data structures
- Quadtrees/octrees for raster and vector data, B+ trees, R-trees
Exercises will take place in form of live class meetings in a virtual classroom. These meetings you'll find in the moodle course.
The first exercise will start on October 21, 2021 3:45 pm. All following exercises will be biweekly. Exercise dates will be announced in the first exercise.
1. Exercise: Research and georeferencing
2. Exercise: Digitization and acquisition of attributes
3. Exercise: Spatial interpolation of digitized elevation data
4. Exercise: Use of free geo-data and geo-data analysis
5. Exercise: Transfer of a statistic into thematic maps
Final Project: Individual GIS topic