The course “Geoinformation in Society” focuses on the representation and geographic visualization of spatio-temporal phenomena. Visual thinking and visual communication facilitate the understanding of phenomena such as the digital divide, land change, resource depletion, epidemic spread and social exclusion. The course will briefly introduce participants to geographic data modelling (using RDF), as well as geovisualization to support the exploration, analysis, synthesis, and presentation of knowledge about spatio-temporal phenomena.
The course will have three parts:
- A block session during the first week of the Semester (October 9 – October 12) where participants will get introduced to geographic linked data & the modelling of geographic information using RDF;
- Regularly scheduled sessions with presentations from participants on the mandatory readings, followed by plenary discussions;
- Project work sessions where participants will work in groups to turn existing data of their choice (e.g., unemployment data, health data, crime data, air quality data, land use data, etc) into geographic linked open data and build a software application which consumes the data and visualize it.
Basic knowledge of programming is required. Through the modelling of existing data as RDF, its enriching with relevant additional data sources, and its geographic visualization, the applications developed during the course will contribute to increase transparency and/or facilitate collaboration in at least one area of society. The applications will be built using existing infrastructure from the Open City Toolkit.
- We will have FIVE SESSIONS during the first week of the semester (Dr. Tomi Kauppinen from Finland can only be physically present in Muenster during that week). October 09 (08:15-09:45); October 12 (18:00-20:00); October 13 (10:15-17:45). Please integrate this in your calendars.
- The course has two types of sessions (seminar & exercises) which can only be taken together in one semester, therefore please MAKE SURE THAT YOU REGISTER TO BOTH