Journal of the Korean Geographical Society (대한지리학회지)

The Korean Geographical Society (대한지리학회)
권호 표지

Geovisualization Environment for Spatio-temporal Trajectory of Personal Activity

시공간 개인통행자료의 지리적 시각화

  • Ahn Jae-Seong (Department of Geography, College of Social Sciences, Seoul National University) ;
  • Lee Yang-Won (Center for Spatial Information Science, The University of Tokyo) ;
  • Park Key-Ho (Department of Geography, College of Social Sciences, Seoul National University)
  • 안재성 (서울대학교 사회과학대학 지리학과) ;
  • 이양원 (동경대학 공간정보과학연구센터) ;
  • 박기호 (서울대학교 사회과학대학 지리학과)
  • Published : 2005.06.01
Download PDF
⟨ Previous Next ⟩

Abstract

This study attempts at prototyping and evaluating a geovisualization tool that summarizes and explores human activity patterns using spatio-temporal trajectory data collected from GPS receiver. A set of core conceptualization developed in 'time geography' is successfully represented by our prototype based on the notion of 'space-time cube.' The notions of 'temporal dispersion cylinder' and 'parallel plane plot' are also implemented to allow funker analyses of human activity pattern on the space-time trajectory. The capabilities of the geovisualization environment we proposed include the interactive and dynamic functions that support a variety of explorations on the three components of spatio-temporal data : space(where), time(when), and object(what).

이 연구는 GPS 수신기를 통해 수집된 개인통행자료를 이용하여 통행패턴의 시공간적 특성을 다양한 그래픽으로 요약하고 탐색적 분석을 가능케하는 지리적 시각화 환경을 제안하고 이를 구현 및 평가하는 것을 목적으로 한다 이 연구에서는 시공간입방체(space-time cube)를 바탕으로 시간지리학 개념을 시각적으로 표현하였으며, 시간산포기둥(temporal dispersion cylinder), 평행평면그림(parallel plane plot)과 같은 부가적인 시각화 도구의 구현을 통해 개인통행패턴의 시공간적 속성 및 이동경로 주위지역의 사회경제적$\cdot$자연적 속성을 함께 탐색할 수 있도록 하였다. 또한 사용자와의 상호작용을 통해 개인통행자료에 포함되어 있는 "언제", "어디에서", "무엇을"이라는 세 가지 정보요소들을 동적으로 탐색 및 질의할 수 있는 환경을 제공한다.

Keywords

References

  1. Andrienko, N., Andrienko, G. and Gatalsky, P., 2003, Exploratory spatio-temporal visualization: an analytical review, Journal of Visual Languages and Computing, 14(6), 503-541 https://doi.org/10.1016/S1045-926X(03)00046-6
  2. Cleveland, W. S., 1993, Visualizing Data, Hobart Press, Summit, N. J
  3. Dykes, J. A. and Mountain, D. M., 2003, Seeking structure in records of spatio-temporal behaviour: visualization issues, efforts and applications, Computational Statistics and Data Analysis, 43(4), 581-603 https://doi.org/10.1016/S0167-9473(02)00294-3
  4. Edsall, R. M., 2003, The parallel coordinate plot in action: design and use for geographic visualization, Computational Statistics and Data Analysis, 43(4), 605-619 https://doi.org/10.1016/S0167-9473(02)00295-5
  5. Hagerstrand, T., 1970, What about people in regional science?, Papers of the Regional Science Association, 24, 7-21
  6. Kraak, M., 2003, The space-time cube revisited from a geovisualization perspective, Proceedings of the 21st International Cartographic Conference, Durban, South Africa, August 2003, 1988-1996
  7. Kwan, M., 1998, Space-time and integral measures of individual accessibility: a comparative analysis using a point-based framework, Geographical Analysis, 30(3), 191-216 https://doi.org/10.1111/j.1538-4632.1998.tb00396.x
  8. Kwan, M., 2000, Interactive geovisulization of activitytravel patterns using three-dimensional geographical information systems: a methodological exploration with a large data set, Transportation Research Part C, 8, 185-203 https://doi.org/10.1016/S0968-090X(00)00017-6
  9. Lenntorp, B., 1976, Paths in Space-Time Environments: A Time-Geographic Study of the Movement Possibilities of Individuals, Lund Studies in Geography, Series B, No. 44, Lund University Press, Lund, Sweden
  10. MacEachren, A. M., 1995, How Maps Work: Representation, Visualization and Design, Guilford Press, New York
  11. MacEachren, A. M. and Kraak, M., 2001, Research challenges in geovisualization, Cartography and Geographic Information Science, 28(1), 1-11
  12. Miller, H. J., 1991, Modelling accessibility using spacetime prism concepts within geographical information systems, International Journal of Geographical Information Systems, 5(3), 287-301
  13. Miller, H. J., 1999, Measuring space-time accessibility benefits within transportation network: basic theory and computational procedures, Geographical Analysis, 31(2), 187-212 https://doi.org/10.1111/j.1538-4632.1999.tb00976.x
  14. Miller, H. J., 2004, Activities in space and time, in Hensher, D. A., Button, K. J., Haynes, K. E. and Stopher, P.(eds.), Handbook of Transport Geography and Spatial Systems, Elsevier, London
  15. Miller, H. J. and Wu, Y. H., 2002, GIS software for measuring space-time accessibility in transportation planning and analysis, GeoInformatica, 4(2), 141-159 https://doi.org/10.1023/A:1009820006075
  16. Mountain, D., 2004, Exploring mobile trajectories: interactive approaches for spatio-temporal data, Poster for EUROESCO GeoVisualization Conference, Kolymbari, Crete, March 2004
  17. O'Sullivan, D., Morrison, A. and Shearer, J., 2000, Using desktop GIS for the investigation of accessibility by public transport: an isochrone approach, International Journal of Geographical Information Science, 14(1), 85-104 https://doi.org/10.1080/136588100240976
  18. Peuquet, D. J., 1994, It's about time: a conceptual framework for the representation of temporal dynamics in geographic information systems, Annals of the Association of American Geographers, 84(3), 441-461 https://doi.org/10.1111/j.1467-8306.1994.tb01869.x
  19. Rinner, C., 2004, Three-dimensional visualization of activity-travel patterns, Proceedings of the Munster GI Days, Munster, Germany, July 2004, 231-237
  20. Vasiliev, I. R., 1997, Mapping time, Cartographica, 34(2), 1-51
  21. Weber, J. and Kwan, M., 2002, Bring time back in: a study on the influence of travel time variations and facility opening hours on individual accessibility, Professional Geographer, 54(2), 226-240 https://doi.org/10.1111/0033-0124.00328