TY  - JOUR
A1  - Rauch, Sebastian
T1  - Analysing Long Term Spatial Mobility Patterns of Individuals and Large Groups Using 3D–GIS: A Sport Geographic Approach
JF  - Tijdschrift voor Economische en Sociale Geografie
N2  - Individual mobility and human patterns analyses is receiving increasing attention in numerous interdisciplinary studies and publications using the concept of time-geography but is largely unknown to the subdiscipline of sports geography. Meanwhile the visualization and evaluation of large data of individual patterns are still a major challenge. While a qualitative, microscale view on spatial-temporal topics is more common in today's pattern research using mostly 24h time intervals, this work examines a quantitative approach focusing on an extended period of life. This paper presents a combination of time-geographic approaches with 3D-geoinformation systems and demonstrates their value for analysing individual mobility by implementing a path-homogeneity factor (HPA). Using the example of professional athletes, it is shown which groups display greater similarities in their career paths. While a high homogeneity suggests that groups make similar decisions through socially influenced processes, low values allow the assumption that external processes provide stronger, independent individual structures.
KW  - 3D GIS analysis
KW  - path analysis
KW  - individual mobility
KW  - geovisualization
KW  - sport geography
KW  - time geography
Y1  - 2022
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-318551
SN  - 0040-747X
VL  - 113
IS  - 3
SP  - 257
EP  - 272
ER  -