COLLABORATIVE EDUCATIONAL GEOANALYTICS APPLIED TO LARGE STATISTICS TEMPORAL DATA

Mikael Jern

2010

Abstract

Recent advances in Web 2.0 graphics technologies have the potential to make a dramatic impact on developing collaborative geovisual analytics that analyse, visualize, communicate and present official statistics. In this paper, we introduce novel “storytelling” means for the experts to first explore large, temporal and multidimensional statistical data, then collaborate with colleagues and finally embed dynamic visualization into Web documents e.g. HTML, Blogs or MediaWiki to communicate essential gained insight and knowledge. The aim is to let the analyst (author) explore data and simultaneously save important discoveries and thus enable sharing of gained insights over the Internet. Through the story mechanism facilitating descriptive metatext, textual annotations hyperlinked through the snapshot mechanism and integrated with interactive visualization, the author can let the reader follow the analyst’s way of logical reasoning. This emerging technology could in many ways change the terms and structures for learning.

References

  1. Andrienko, V., Andrienko, N., Voss, H., 2003. GIS for Everyone: the Common GIS project and beyond, Peterson M. (ed.), Maps and the Internet, Elsevier Science, pp. 131-146
  2. Andrienko, V., Andrienko, N., 2005. Visual exploration of the spatial distribution of temporal behaviors. In Proceedings of the International Conference on Information Visualisation IEEE Computer Society.
  3. Brodbeck, D., Girardin, L., 2003. Design study: using multiple coordinated views to analyze geo-referenced high-dimensional datasets. In Proceedings of the Coordinated and Multiple Views in Exploratory Visualization, IEEE Computer Society, pp. 104-111
  4. Carr, D., White, D., MacEachren, A., 2005. Conditioned choropleth maps and hypothesis generation. Annals of the Association of American Geographers 95(1):32- 53. Chapala, GK.
  5. Franzén, J., Jern, M., 2006. GeoAnalytics - Exploring spatio-temporal and multivariate data, Reviewed proceedings IV, London, published by IEEE Computer Society.
  6. Guo, D., Chen, J., MacEachren, A., Liao, K., 2006. A visualization system for space-time and multivariate patterns (VIS-STAMP). IEEE Visualization and Computer Graphics vol 12(6).
  7. Jern, M., 2001. Smart Documents for Web-Enabled Collaboration, in “Digital Content Creation”, Vince, J., and Earnshaw, R.A., (Eds), Springer Verlag.
  8. Jern, M., Johansson, S., Pettersson, N., Feldt, H., 2005. Tailor-made Exploratory Visualization for Statistics Sweden, CMV 2005, London, published by IEEE Computer Society.
  9. Jern, M., Rogstadius, J., Åström, T., Ynnerman, A., 2008. Visual Analytics presentation tools applied in HTML Documents, Reviewed proceedings, IV08, London, published by IEEE Computer Society.
  10. Keel, P., 2006. Collaborative Visual Analytics: Inferring from the Spatial Organisation and Collaborative use of information, VAST 2006, pp.137-144, IEEE.
  11. MacEachren, A.M., Brewer, I., 2001. Geovisualization to mediate collaborative work: Tools to support differentplace knowledge construction and decision-making. In 20th International cartographic conference, Beijing, China.
  12. OECD 2009a. OECD eXplorer http://stats.oecd.org/OECDregionalstatistics/
  13. OECD 2009b. OECD Factbook http://stats.oecd.org/oecdfactbook/
  14. Roberts, J., 2004. Exploratory visualization with multiple linked views. In Exploring Geovisualization. MacEachren, A.M., Kraak, J., Dykes, J., eds, Amsterdam.
  15. Robinson, A., 2006. Re-Visualization: Interactive Visualization of the Progress of Visual Analysis, workshop proceedings, VASDS.
  16. Wohlfart, M., Hauser, H., 2007. Story Telling for Presentation. In: Volume Visualization EuroVis2007.
Download


Paper Citation


in Harvard Style

Jern M. (2010). COLLABORATIVE EDUCATIONAL GEOANALYTICS APPLIED TO LARGE STATISTICS TEMPORAL DATA . In Proceedings of the 2nd International Conference on Computer Supported Education - Volume 1: CSEDU, ISBN 978-989-674-023-8, pages 233-238. DOI: 10.5220/0002780302330238


in Bibtex Style

@conference{csedu10,
author={Mikael Jern},
title={COLLABORATIVE EDUCATIONAL GEOANALYTICS APPLIED TO LARGE STATISTICS TEMPORAL DATA},
booktitle={Proceedings of the 2nd International Conference on Computer Supported Education - Volume 1: CSEDU,},
year={2010},
pages={233-238},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002780302330238},
isbn={978-989-674-023-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 2nd International Conference on Computer Supported Education - Volume 1: CSEDU,
TI - COLLABORATIVE EDUCATIONAL GEOANALYTICS APPLIED TO LARGE STATISTICS TEMPORAL DATA
SN - 978-989-674-023-8
AU - Jern M.
PY - 2010
SP - 233
EP - 238
DO - 10.5220/0002780302330238