- Ski Resorts can be modeled as a connected network consisting of unidirectional edges, more specifically downhill pistes and uphill lifts.
- Aside from the spatial coordinate data, pistes contain additional attributes such as difficulty (easy - blue, intermediate - red, hard - black), steepness, elevation, grooming, width or compass direction.
- Similarly, lifts are defined by a type (t-bar, platter, chair lift, gondola, cable car), occupancy (# of seats), elevation or duration.
- Traditional piste maps only show limited information, however, the incorporation of multiple attributes into a visualization could be beneficial for a skier.
- Develop a visualization capable of effectively displaying multivariate spatial trajectory data
- Identify correlations / outliers
- Enable comparative analysis of trajectories
- Identify similar segments / sequences
- Interest in ski domain
- Basic knowledge about information visualization and data mining.
Scope / Duration / Start
- Scope: Bachelor / Master
- Project/Thesis Duration: 3 months / 3 months (Bachelor), 3 months / 6 months (Master)
- Start: Consider the project registration deadlines provided by the Department of Computer and Information Science (BA | MA)
- Bachelor / Master Project Guide