Analysing Long Term Spatial Mobility Patterns of Individuals and Large Groups Using 3D‐GIS: A Sport Geographic Approach

Individual mobility and human patterns analyses is receiving increasing attention in numerous interdisciplinary studies publications using the concept of time-geography but largely unknown to subdiscipline sports geography. Meanwhile visualization evaluation large data individual are still a major challenge. While qualitative, microscale view on spatial-temporal topics more common today's pattern research mostly 24h time intervals, this work examines quantitative approach focusing an extended period life. This paper presents combination time-geographic approaches with 3D-geoinformation systems demonstrates their value for analysing by implementing path-homogeneity factor (HPA). Using example professional athletes, it shown which groups display greater similarities career paths. high homogeneity suggests that make similar decisions through socially influenced processes, low values allow assumption external processes provide stronger, independent structures.