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

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  • Sebastian Rauch

Abstract

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.

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  • Sebastian Rauch, 2022. "Analysing Long Term Spatial Mobility Patterns of Individuals and Large Groups Using 3D‐GIS: A Sport Geographic Approach," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 113(3), pages 257-272, July.
    • Handle: RePEc:bla:tvecsg:v:113:y:2022:i:3:p:257-272
    DOI: 10.1111/tesg.12513
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    1. Christina Scholten & Tora Friberg & Annika Sandén, 2012. "Re-Reading Time-Geography from a Gender Perspective: Examples from Gendered mobility," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 103(5), pages 584-600, December.
    2. Sergio J. Rey & Mark V. Janikas, 2005. "Regional convergence, inequality, and space," Journal of Economic Geography, Oxford University Press, vol. 5(2), pages 155-176, April.
    3. Qunying Huang & David W. S. Wong, 2015. "Modeling and Visualizing Regular Human Mobility Patterns with Uncertainty: An Example Using Twitter Data," Annals of the American Association of Geographers, Taylor & Francis Journals, vol. 105(6), pages 1179-1197, November.
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