Volunteered Geographic: Interpretation, Visualisierung und Social Computing

  • WG Storandt (Algorithmics)
    (2024): SkiVis: Visual Exploration and Route Planning in Ski Resorts IEEE Transactions on Visualization and Computer Graphics. IEEE. 2024, 30(1), pp. 869-879. ISSN 1077-2626. eISSN 1941-0506. Available under: doi: 10.1109/tvcg.2023.3326940

SkiVis: Visual Exploration and Route Planning in Ski Resorts


Optimal ski route selection is a challenge based on a multitude of factors, such as the steepness, compass direction, or crowdedness. The personal preferences of every skier towards these factors require individual adaptations, which aggravate this task. Current approaches within this domain do not combine automated routing capabilities with user preferences, missing out on the possibility of integrating domain knowledge in the analysis process. We introduce SkiVis, a visual analytics application to interactively explore ski slopes and provide routing recommendations based on user preferences. In collaboration with ski guides and enthusiasts, we elicited requirements and guidelines for such an application and propose different workflows depending on the skiers' familiarity with the resort. In a case study on the resort of Ski Arlberg, we illustrate how to leverage volunteered geographic information to enable a numerical comparison between slopes. We evaluated our approach through a pair-analytics study and demonstrate how it supports skiers in discovering relevant and preference-based ski routes. Besides the tasks investigated in the study, we derive additional use cases from the interviews that showcase the further potential of SkiVis, and contribute directions for further research opportunities.

Origin (projects)

Funding sources
Name Finanzierungstyp Kategorie Project no.
Schwerpunktprogramm third-party funds research funding program 743/18
Further information
Period: 01.10.2018 – 31.12.2099