Rauscher, JuliusMiller, MatthiasKeim, Daniel A.Krone, MichaelLenti, SimoneSchmidt, Johanna2022-06-022022-06-022022978-3-03868-185-4https://doi.org/10.2312/evp.20221123https://diglib.eg.org:443/handle/10.2312/evp20221123Ski resorts exhibit a variety of available pistes and lifts, to which every skier has intrinsic preferences. While novices tend to favor easy pistes, experts might opt for more advanced pistes. In large resorts, the vast possibilities render manual, optimized routing according to specific piste and lift preferences extremely tedious. So far, existing visualizations of ski resorts lack these routing capabilities.We present a visual analytics interface that allows the user to find an optimal route between arbitrary locations in a ski resort according to individual personal preferences. Furthermore, we encode steepness information along the pistes to expose segments that deviate from the difficulty classification and thus are incompatible with the given user preferences.Attribution 4.0 International LicenseCCS Concepts: Human-centered computing --> Geographic Visualization; Network --> RoutingHuman centered computingGeographic VisualizationNetworkRouting10.2312/evp.2022112371-733 pages