COLLABORATIVE EDUCATIONAL GEOANALYTICS APPLIED TO LARGE STATISTICS TEMPORAL DATA

Mikael Jern

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.

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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