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Analysing Long Term Spatial Mobility Patterns of Individuals and Large Groups Using 3D–GIS: A Sport Geographic Approach
Please always quote using this URN: urn:nbn:de:bvb:20-opus-318551
- 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 anIndividual 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.…
Author: | Sebastian Rauch |
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URN: | urn:nbn:de:bvb:20-opus-318551 |
Document Type: | Journal article |
Faculties: | Philosophische Fakultät (Histor., philolog., Kultur- und geograph. Wissensch.) / Institut für Geographie und Geologie |
Language: | English |
Parent Title (English): | Tijdschrift voor Economische en Sociale Geografie |
ISSN: | 0040-747X |
Year of Completion: | 2022 |
Volume: | 113 |
Issue: | 3 |
First Page: | 257 |
Last Page: | 272 |
Source: | Tijdschrift voor Economische en Sociale Geografie 2022, 113(3):257-272. DOI: 10.1111/tesg.12513 |
DOI: | https://doi.org/10.1111/tesg.12513 |
Dewey Decimal Classification: | 9 Geschichte und Geografie / 91 Geografie, Reisen / 910 Geografie, Reisen |
Tag: | 3D GIS analysis; geovisualization; individual mobility; path analysis; sport geography; time geography |
Release Date: | 2023/07/24 |
Licence (German): | CC BY: Creative-Commons-Lizenz: Namensnennung 4.0 International |