Geovisualization and Time - New Opportunities for the Space-Time Cube

Geographic Visualization: Concepts, Tools and Applications

Volumn , Issue , 2008, Pages 293-306

  Kraak, Menno Jan ^a  

^a UNIVERSITY OF TWENTE   (Netherlands)

Author keywords

Black Death display and basic time geography; Geovisualization and time space time cube; H gerstrand's time geography and space time cube; Netherland Rotary Club and splitting space time paths; Space time cube applications; Space time path and Google Earth; Sport and time geography and rugby matches

Indexed keywords

EID: 70349137362     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1002/9780470987643.ch15     Document Type: Chapter

References (29)

1. Andrienko, N., Andrienko, G.L. et al. (2003) Visual data exploration using space-time cubes. In 21st International Cartographic Conference, Durban.
2. Bettini, C., Jajodia, S. et al. (2000) Time Granularities in Databases, Data Mining and Temporal Reasoning. Berlin, Springer.
3. Blok, C. (2005) Dynamic visualization variables in animation to support monitoring. In Proceedings 22nd International Cartographic Conference, A Coruna.
4. Christakos, G., Olea, R. A. et al. (2005) Interdisciplinary Public Health Reasoning and Epidemic Modelling: the Case of Black Death. Berlin, Springer.
5. 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 (Data Viz II). Computational Statistics and Data Analysis 43(4): 581-603.
6. Dykes, J.,MacEachren, A. M. et al. (eds) (2005) Exploring Geovisualization. Amsterdam, Elsevier.
7. Forer, P. (1998) Geometric approaches to the nexus of time, space, and microprocess: implementing a practical model for mundane socio-spatial systems. In Spatial and Temporal Reasoning in Geographic Information Systems, Egenhofer, M. J. and Gollege, R. G. (eds). Oxford, Oxford University Press.
8. Forer, P. and Huisman, O. (1998) Computational agents and urban life spaces: a preliminary realisation of the time-geography of student lifestyles. In Third International Conference on GeoComputation, Bristol.
9. Hägerstrand, T., (1970). What about people in regional science? Papers in Regional Science Association 24(1): 7-21.
10. Hedley, N. R., Drew, C. H. et al. (1999) Hagerstrand revisited: interactive space-time visualizations of complex spatial data. Informatica: International Journal of Computing and Informatics 23(2): 155-168.
11. Hornsby, K. and Egenhofer, M. J. (2002) Modeling moving objects over multiple granularities. Annals of Mathematics and Artificial Intelligence 36(1-2): 177-194.
12. Kousoulakou, A. and Kraak, M. J. (1992) The spatio-temporal map and cartographic communication. Cartographic Journal 29(2): 101-108.
13. Kraak, M. J. (2003) Geovisualization illustrated. ISPRS Journal of Photogrammetry and Remote Sensing 57(1): 1-10.
14. Kraak, M. J. and Kousoulakou, A. (2004) A visualization environment for the space-time cube. Developments in Spatial Data Handling 11th International Symposium on Spatial Data Handling, Fisher, P. F. (ed.). Berlin, Springer, pp. 189-200.
15. Kwan,M.P. (2000) Interactive geovisualization of activity travel patterns using three-dimensional geographical information systems: a methodological exploration with a large data set. Transportation Research C 8: 185-203.
16. Langran, G. (1993) Time in Geographic Information Systems. London, Taylor & Francis.
17. Laube, P., Imfeld, S. et al. (2005) Discovering relative motion patterns in groups of moving point objects. International Journal of Geographical Information Science 19: 639-668.
18. Lenntorp, B. (1976) Paths in Space Time Environments: a Time Geographic Study of Movement Possibilities of Individuals. Lund Studies in Geography B:Human Geography, LundUniversity.
19. Miller, H. J. (1999) Measuring space-time accessibility benefits within transportation networks: basic theory and computational procedures Geographical Analysis 31(2): 187-212.
20. Miller, H. J. (2002) What about people in geographic information science? Re-Presenting Geographic Information Systems, Unwin, D. (ed.). Chichester,Wiley.
21. Monmonier, M. (2002) Spying with Maps. Chicago, IL, University of Chicago Press.
22. Moore, A. B., Wigham, P. et al. (2003) A time geography approach to the visualisation of sport. Geocomputation 2003, Southampton (CD-ROM).
23. Mountain,D. M. and Raper, J. F. (2001)ModellingHuman Spatio-temporal Behaviour: a Challenge for Location-based Services. Brisbane, GeoComputation.
24. Müller, W. and Schumann, H. (2003) Visualization methods for time-dependent data-an overview. Proceedings of Winter Simulation 2003, New Orleans, LA.
25. Peuquet, D. J. (2002) Representations of Space and Time. New York, The Guilford Press.
26. Pred, A. (1977) The choreography of existence: comments onHagerstrand's time-geography and its usefulness. Economic Geography 53: 207-221.
27. Shneiderman, B. (1996) The eyes have it: a task by data type taxonomy for information visualization. In Proceedings IEEE Symposium on Visual Languages, Boulder, CO. New York, IEEE Computer Society, pp. 336-343.
28. Vasiliev, I. R. (1997) Mapping time. Cartographica 34(2): 1-51.
29. Ware, C. (2004) Information Visualization: Perception for Design. New York,Morgan Kaufmann.