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Exploratory 3D Geovisual Analytics
Linköping University, Department of Science and Technology, Visual Information Technology and Applications (VITA). Linköping University, The Institute of Technology. (Information Visualization)
Linköping University, Department of Science and Technology, Visual Information Technology and Applications (VITA). Linköping University, The Institute of Technology. (Information Visualization)
2008 (English)In: 2008 IEEE International Conference on Research, Innovation and Vision for the Future in Computing Communications Technologies,2008 / [ed] Tru Cao, Tu-Bao Ho, P. O. Box 1331, 445 Hoes Lane, Piscataway, NJ 08855-1331 USA: IEEE Operations Center , 2008, 276-283 p.Conference paper, Published paper (Refereed)
Abstract [en]

In this paper, we extend our generic -GeoAnalytics- visualization (GAV) component toolkit, based on the principles behind Visual Analytics (VA), to also support time-oriented, geographically referenced and multivariate attribute volumetric data. GAV includes components that support a mixture of technologies from the three data visualization fields: information visualization (InfoVis), geovisualization (GeoVis) and scientific visualization (SciVis). Our research concentrates on visual user interface (VUI) techniques through dynamic and direct data manipulation that permit the visual analytical process to become more interactive and focused. This paper encourages synergies between well-known information- and volume data visualization methods applied in a multiple-linked and coordinated views interface. We address challenges for improved data interaction techniques with volumetric data and the need for immediate response. Varieties of explorative data analysis (EDA) tasks and the possibility to view the information simultaneously from different perspectives and scenarios are discussed. The effectiveness of our geovisual analytics framework is demonstrated in a tailor-made volume data explorer (VDE) application that integrates InfoVis, GeoVis and SciVis visualization methods assembled from GAV components. VDE facilitates dynamic exploration and correlation of temporal ocean space temperature and salinity data supplied in a NetCDF format from NOAA. This real-world phenomenon that corresponds to a huge volumetric data set comprises more than 31 million values for a time period of 12 months in 1994.

Place, publisher, year, edition, pages
P. O. Box 1331, 445 Hoes Lane, Piscataway, NJ 08855-1331 USA: IEEE Operations Center , 2008. 276-283 p.
Keyword [en]
geovisual analytics, advanced geographic information system, visual user interfaces (VUI), volume data visualization
National Category
Other Computer and Information Science
Identifiers
URN: urn:nbn:se:liu:diva-43715DOI: 10.1109/RIVF.2008.4586367Local ID: 74602ISBN: 978-1-4244-2379-8 (print)OAI: oai:DiVA.org:liu-43715DiVA: diva2:264575
Conference
2008 IEEE International Conference on Research, Innovation and Vision for the Future, 13-17 July, Ho Chi Minh City, Vietnam
Available from: 2009-10-10 Created: 2009-10-10 Last updated: 2013-04-30Bibliographically approved
In thesis
1. Architecture and Applications of a Geovisual Analytics Framework
Open this publication in new window or tab >>Architecture and Applications of a Geovisual Analytics Framework
2013 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

The large and ever-increasing amounts of multi-dimensional, multivariate, multi-source, spatio-temporal data represent a major challenge for the future. The need to analyse and make decisions based on these data streams, often in time-critical situations, demands integrated, automatic and sophisticated interactive tools that aid the user to manage, process, visualize and interact with large data spaces. The rise of `Web 2.0', which is undisputedly linked with developments such as blogs, wikis and social networking, and the internet usage explosion in the last decade represent another challenge for adapting these tools to the Internet to reach a broader user community. In this context, the research presented in this thesis introduces an effective web-enabled geovisual analytics framework implemented, applied and verified in Adobe Flash ActionScript and HTML5/JavaScript. It has been developed based on the principles behind Visual Analytics and designed to significantly reduce the time and effort needed to develop customized web-enabled applications for geovisual analytics tasks and to bring the benefits of visual analytics to the public. The framework has been developed based on a component architecture and includes a wide range of visualization techniques enhanced with various interaction techniques and interactive features to support better data exploration and analysis. The importance of multiple coordinated and linked views is emphasized and a number of effective techniques for linking views are introduced.

Research has so far focused more on tools that explore and present data while tools that support capturing and sharing gained insight have not received the same attention. Therefore, this is one of the focuses of the research presented in this thesis. A snapshot technique is introduced, which supports capturing discoveries made during the exploratory data analysis process and can be used for sharing gained knowledge.

The thesis also presents a number of applications developed to verify the usability and the overall performance of the framework for the visualization, exploration and analysis of data in different domains. Four application scenarios are presented introducing (1) the synergies among information visualization methods, geovisualization methods and volume data visualization methods for the exploration and correlation of spatio-temporal ocean data, (2) effective techniques for the visualization, exploration and analysis of self-organizing network data, (3) effective flow visualization techniques applied to the analysis of time-varying spatial interaction data such as migration data, commuting data and trade flow data, and (4) effective techniques for the visualization, exploration and analysis of flood data.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2013. 78 p.
Series
Linköping Studies in Science and Technology. Dissertations, ISSN 0345-7524 ; 1511
Keyword
GeoVisual Analytics, toolkits, frameworks, web-enabled, visualization, interactive visualizations, interaction, interaction techniques, visual data analysis, component architecture, storytelling
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:liu:diva-91679 (URN)978-91-7519-643-5 (ISBN)
Public defence
2013-05-29, Domteatern, Visualiseringscenter C, Kungsgatan 54, Norrköping, 10:01 (English)
Opponent
Supervisors
Available from: 2013-04-29 Created: 2013-04-29 Last updated: 2013-04-30Bibliographically approved

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Ho, QuanJern, Mikael

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Citation style
  • apa
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