Visual Exploration of Multivariate Trajectories in Ski Resorts

Theoretical (Analytical):

Practical (Implementation):

Literature Work:


  • 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.
  • Good programming skills in web programming (JavaScript (and TypeScript) / D3) and Python.

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