A Geological Metaphor for Geospatial-temporal Data Analysis

Tom Liebmann, Patrick Oesterling, Stefan Jänicke, Gerik Scheuermann

2014

Abstract

To provide visual access to geospatial-temporal data, existing systems usually highlight the data’s spatial, temporal and topical distribution individually in separated, but linked views. Because this design often complicates queries that concern multiple data aspects and also involves more user interaction, in this paper, we present a geological metaphor that aims to combine relations between orthogonal data aspects. We describe how our adopted landscape metaphor intuitively depicts global and local relationships based on its surface, glyph augmentation and inner sediment structure. We validate the geological metaphor with case studies, compare it with existing systems and describe how it can be integrated into those as an alternative map view.

References

  1. Andrienko, G. and Andrienko, N. (2006). Visual Data Exploration: Tools, Principles, and Problems. In Classics from IJGIS: twenty years of the International journal of geographical information science and systems, pages 475-479. CRC Press.
  2. Andrienko, N. and Andrienko, G. (2005). Exploratory Analysis of Spatial and Temporal Data: A Systematic Approach. Springer.
  3. Dent, B. D. (1999). Carography: Thematic Map Design. McGraw-Hill, 5th edition.
  4. Dörk, M., Carpendale, S., Collins, C., and Williamson, C. (2008). VisGets: Coordinated Visualizations for Webbased Information Exploration and Discovery. IEEE Transactions on Visualization and Computer Graphics, 14(6):1205-1212.
  5. Eccles, R., Kapler, T., Harper, R., and Wright, W. (2008). Stories in geotime. Information Visualization, 7(1):3- 17.
  6. Fabrikant, S. I., Montello, D. R., and Mark, D. M. (2010). The natural landscape metaphor in information visualization: The role of commonsense geomorphology. J. Am. Soc. Inf. Sci. Technol., 61(2):253-270.
  7. Jänicke, S., Heine, C., and Scheuermann, G. (2013). GeoTemCo: Comparative Visualization of Geospatial-Temporal Data with Clutter Removal Based on Dynamic Delaunay Triangulations. In Csurka, G., Kraus, M., Laramee, R., Richard, P., and Braz, J., editors, Computer Vision, Imaging and Computer Graphics. Theory and Application, volume 359 of Communications in Computer and Information Science, pages 160-175. Springer Berlin Heidelberg.
  8. Kapler, T. and Wright, W. (2005). Geo time information visualization. Information Visualization, 4(2):136-146.
  9. Kim, S., Maciejewski, R., Malik, A., Jang, Y., Ebert, D. S., and Isenberg, T. (2013). Bristle maps: A multivariate abstraction technique for geovisualization. IEEE Transactions on Visualization and Computer Graphics, 19(9):1438-1454.
  10. Kraak, M. J. (1988). The space-time cube revisited from a geovisualization perspective. Proceedings of the 21st International Cartographic Conference, 1995.
  11. Maciejewski, R., Rudolph, S., Hafen, R., Abusalah, A. M., Yakout, M., Ouzzani, M., Cleveland, W. S., Grannis, S. J., and Ebert, D. S. (2010). A visual analytics approach to understanding spatiotemporal hotspots. IEEE Transactions on Visualization and Computer Graphics, 16(2):205-220.
  12. Roberts, J. C. (2007). State of the art: Coordinated multiple views in exploratory visualization. In Proceedings of the 5th International Conference on Coordinated Multiple Views in Exploratory Visualization (CMV2007). IEEE Computer Society Press.
  13. Rogers, S. (2010). The Guardian - Wikileaks Iraq war logs: every death mapped. http://www.guardian.co.uk/world/datablog/interactive/ 2010/oct/23/wikileaks-iraq-deaths-map (Retrieved 2013-09-17).
  14. Roth, R. E., Ross, K. S., Finch, B. G., Luo, W., and MacEachren, A. M. (2010). A User-Centered Approach for Designing and Developing Spatiotemporal Crime Analysis Tools. In Purves, R. and Weibel, R., editors, Proceedings of GIScience.
  15. Shneiderman, B. (1996). The eyes have it: A task by data type taxonomy for information visualizations. In Proceedings of the 1996 IEEE Symposium on Visual Languages, pages 336-343. IEEE Computer Society.
  16. Slocum, T. A., McMaster, R. B., Kessler, F. C., and Howard, H. H. (2009). Thematic Cartography and Geovisualization. Prentice Hall Series in Geographic Information Science. Prentice Hall, 3rd, international edition.
  17. Tominski, C., Schulze-Wollgast, P., and Schumann, H. (2005). 3d information visualization for time dependent data on maps. 2010 14th International Conference Information Visualisation, 0:175-181.
  18. Tominski, C., Schumann, H., Andrienko, G., and Andrienko, N. (2012). Stacking-based visualization of trajectory attribute data. IEEE Transactions on Visualization and Computer Graphics, 18(12):2565-2574.
  19. Ware, C. (2004). Information Visualization: Perception for Design. Morgan Kaufmann, 3rd edition.
  20. Wise, J. A., Thomas, J. J., Pennock, K., Lantrip, D., Pottier, M., Schur, A., and Crow, V. (1995). Visualizing the non-visual: spatial analysis and interaction with information from text documents. In Proceedings of the 1995 IEEE Symposium on Information Visualization, INFOVIS 7895, pages 51-, Washington, DC, USA. IEEE Computer Society.
  21. Xu, K., Cunningham, A., Hong, S.-H., and Thomas, B. H. (2007). Graphscape: integrated multivariate network visualization. In Hong, S.-H. and Ma, K.-L., editors, APVIS, pages 33-40. IEEE.
Download


Paper Citation


in Harvard Style

Liebmann T., Oesterling P., Jänicke S. and Scheuermann G. (2014). A Geological Metaphor for Geospatial-temporal Data Analysis . In Proceedings of the 5th International Conference on Information Visualization Theory and Applications - Volume 1: IVAPP, (VISIGRAPP 2014) ISBN 978-989-758-005-5, pages 161-169. DOI: 10.5220/0004742901610169


in Bibtex Style

@conference{ivapp14,
author={Tom Liebmann and Patrick Oesterling and Stefan Jänicke and Gerik Scheuermann},
title={A Geological Metaphor for Geospatial-temporal Data Analysis},
booktitle={Proceedings of the 5th International Conference on Information Visualization Theory and Applications - Volume 1: IVAPP, (VISIGRAPP 2014)},
year={2014},
pages={161-169},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004742901610169},
isbn={978-989-758-005-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 5th International Conference on Information Visualization Theory and Applications - Volume 1: IVAPP, (VISIGRAPP 2014)
TI - A Geological Metaphor for Geospatial-temporal Data Analysis
SN - 978-989-758-005-5
AU - Liebmann T.
AU - Oesterling P.
AU - Jänicke S.
AU - Scheuermann G.
PY - 2014
SP - 161
EP - 169
DO - 10.5220/0004742901610169