https://www.mdu.se/

mdu.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Animated Geo-temporal Clusters for Exploratory Search in Event Data Document Collections
Xi'an Jiaotong-Liverpool University Suzhou, China .
Edinburgh Napier University Edinburgh, United Kingdom .ORCID iD: 0000-0002-5479-012x
Universidad Tecnológica de la Mixteca Huajuapan de León, Mexico .
2014 (English)In: Proceedings of the International Conference on Information Visualisation, 2014, p. 157-163Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents a novel visual analytics technique developed to support exploratory search tasks for event data document collections. The technique supports discovery and exploration by clustering results and overlaying cluster summaries onto coordinated timeline and map views. Users can also explore and interact with search results by selecting clusters to filter and re-cluster the data with animation used to smooth the transition between views. The technique demonstrates a number of advantages over alternative methods for displaying and exploring georeferenced search results and spatio-temporal data. Firstly, cluster summaries can be presented in a manner that makes them easy to read and scan. Listing representative events from each cluster also helps the process of discovery by preserving the diversity of results. Also, clicking on visual representations of geo-temporal clusters provides a quick and intuitive way to navigate across space and time simultaneously. This removes the need to overload users with the display of too many event labels at any one time. The technique was evaluated with a group of nineteen users and compared with an equivalent text based exploratory search engine.

Place, publisher, year, edition, pages
2014. p. 157-163
National Category
Other Engineering and Technologies
Identifiers
URN: urn:nbn:se:mdh:diva-50214DOI: 10.1109/IV.2014.69ISI: 000365275200027Scopus ID: 2-s2.0-84912115038OAI: oai:DiVA.org:mdh-50214DiVA, id: diva2:1468305
Conference
2014 18th International Conference on Information Visualisation, Paris, France, 16-18 July 2014
Available from: 2020-09-17 Created: 2020-09-17 Last updated: 2021-12-21Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Roa-Seiler, Nena

Search in DiVA

By author/editor
Roa-Seiler, Nena
Other Engineering and Technologies

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 25 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf