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Architecture and Applications of a Geovisual Analytics Framework
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, The Institute of Technology. (GeoVisualization)
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 [en]
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: urn:nbn:se:liu:diva-91679ISBN: 978-91-7519-643-5 (print)OAI: oai:DiVA.org:liu-91679DiVA: diva2:618513
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
List of papers
1. A Web-Enabled Visualization Toolkit for Geovisual Analytics
Open this publication in new window or tab >>A Web-Enabled Visualization Toolkit for Geovisual Analytics
2012 (English)In: Information Visualization, ISSN 1473-8716, E-ISSN 1473-8724, Vol. 11, no 1, 22-42 p.Article in journal (Refereed) Published
Abstract [en]

A framework and class library (GAV Flash) implemented in Adobe’s ActionScript is introduced, designed with the intention to significantly shorten the time and effort needed to develop customized web-enabled applications for geovisual analytics tasks. Through an atomic layered component architecture, GAV Flash provides a collection of interactive geo- and information visualization representations for exploring high dimensional spaces and extended with motion behavior. Versatile interaction methods are drawn from many data visualization research areas and optimized for dynamic web visualization of spatio-temporal and multivariate data. Based on layered component thinking and the use of programming interface mechanism the GAV Flash architecture is open and facilitates the creation of new or improved versions of existing components so that ideas can be tried out or optimized rapidly in a fully functional environment. Not only is GAV Flash a tool for interactive visualization but also supports storytelling around visual analytics in which visual representations not only serve as a discovery tool for individuals but also as a mean to share stories among users fostering a social style of collaborative data analysis. A mechanism “snapshot” for saving the explorative results of a reasoning process is introduced that aids collaboration and publication of gained insight and knowledge embedded as dynamic visualizations in blogs or web pages with associative metadata or “storytelling”.

Place, publisher, year, edition, pages
Sage Publications, 2012
Keyword
web-enabled visualization toolkit, geovisual analytics, storytelling, layered component architecture, multiple-linked views
National Category
Media and Communication Technology Other Computer and Information Science
Identifiers
urn:nbn:se:liu:diva-74199 (URN)10.1177/1473871611425870 (DOI)000300271700003 ()
Available from: 2012-01-26 Created: 2012-01-20 Last updated: 2017-12-08Bibliographically approved
2. Geovisual analytics framework integrated with storytelling applied to HTML5
Open this publication in new window or tab >>Geovisual analytics framework integrated with storytelling applied to HTML5
2013 (English)In: The 16th AGILE International Conference on Geographic Information Science: Geographic Information Science at the Heart of Europe, 2013Conference paper, Published paper (Refereed)
Abstract [en]

The paper considers how the integration between visualization and storytelling can make statistical findings more comprehensible and accessible to the general public. Traditional practices for geovisual analytics methods applied to official statistics require tools for greater user participation and an improved user experience. The approach set out in this paper allows the analyst (the author) to communicate with interested readers through visual discoveries captured in snapshots with descriptive text. The paper introduces HTML5 based geovisual analytics tools that facilitate storytelling aimed at producing statistical news content in support of an automatic authoring process. The author simply presses a button to publish the knowledge gained from a visual interactive discovery process within an interactive web context that could more engagingly draw the user into reflections and sometimes change a perspective altogether.

Keywords: Geovisual analytics, storytelling, HTML5

National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:liu:diva-91470 (URN)
Conference
The 16th AGILE International Conference on Geographic Information Science. 14-17 May 2013, Leuven, Belgium
Available from: 2013-04-25 Created: 2013-04-25 Last updated: 2013-04-30Bibliographically approved
3. Exploratory 3D Geovisual Analytics
Open this publication in new window or tab >>Exploratory 3D Geovisual Analytics
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
Keyword
geovisual analytics, advanced geographic information system, visual user interfaces (VUI), volume data visualization
National Category
Other Computer and Information Science
Identifiers
urn:nbn:se:liu:diva-43715 (URN)10.1109/RIVF.2008.4586367 (DOI)74602 (Local ID)978-1-4244-2379-8 (ISBN)74602 (Archive number)74602 (OAI)
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
4. Geovisual Analytics for Self-Organizing Network Data
Open this publication in new window or tab >>Geovisual Analytics for Self-Organizing Network Data
2009 (English)In: Proceedings of IEEE Symposium on Visual Analytics Science and Technology, 2009 (VAST 2009 / [ed] John Stasko, Jarke J. van Wijk, 445 Hoes Lane, P.O. Box 1331, Piscataway, NJ 08855-1331 USA: IEEE Service Center , 2009, 43-50 p.Conference paper, Published paper (Refereed)
Abstract [en]

Cellular radio networks are continually growing in both node count and complexity. It therefore becomes more difficult to manage the networks and necessary to use time and cost effective automatic algorithms to organize the network’s neighbor cell relations. There have been a number of attempts to develop such automatic algorithms. Network operators, however, may not trust them because they need to have an understanding of their behavior and of their reliability and performance, which is not easily perceived. This paper presents a novel web-enabled geovisual analytics approach to exploration and understanding of self-organizing network data related to cells and neighbor cell relations. A demonstrator and case study are presented in this paper, developed in close collaboration with the Swedish telecom company Ericsson and based on large multivariate, time-varying and geospatial data provided by the company. It allows the operators to follow, interact with and analyze the evolution of a self-organizing network and enhance their understanding of how an automatic algorithm configures locally-unique physical cell identities and organizes neighbor cell relations of the network. The geovisual analytics tool is tested with a self-organizing network that is operated by the Automatic Neighbor Relations (ANR) algorithm. The demonstrator has been tested with positive results by a group of domain experts from Ericsson and will be tested in production.

Place, publisher, year, edition, pages
445 Hoes Lane, P.O. Box 1331, Piscataway, NJ 08855-1331 USA: IEEE Service Center, 2009
Keyword
Geovisual analytics, visualization, self-organizing network, multi-layer, multi-dimensional, time-varying, geospatial data sets.
National Category
Other Computer and Information Science
Identifiers
urn:nbn:se:liu:diva-52358 (URN)10.1109/VAST.2009.5332610 (DOI)978-1-4244-5283-5 (ISBN)
Conference
IEEE Symposium on Visual Analytics Science and Technology, 2009 (VAST 2009), 11 - 16 October, Atlantic City, New Jersey, USA
Projects
VoSON
Available from: 2010-02-12 Created: 2009-12-17 Last updated: 2013-04-30Bibliographically approved
5. Implementation of a Flow Map Demonstrator for Analyzing Commuting and Migration Flow Statistics Data
Open this publication in new window or tab >>Implementation of a Flow Map Demonstrator for Analyzing Commuting and Migration Flow Statistics Data
2011 (English)In: Procedia - Social and Behavioral Sciences, ISSN 1877-0428, E-ISSN 1877-0428, Vol. 21, 157-166 p.Article in journal (Refereed) Published
Abstract [en]

The interest for statistics visualization is emerging with the rise of geovisual analytics on the internet. National and sub-national statistics foundations have started to migrate from tabular representations to interactive web-enabled visualizations that can show trends. Interactive web-enable visualizations for movement data (or flow data) such as trade flows or commuting flows, however, are still rare. This paper covers spatial interactions and animation for a wide variety of realized movements of people such as commuting and migration between an origin and a destination visually expressed by directed weighted arrows over a geographic space. The paper is built around an interactive flow map demonstrator that can interactively explore and communicate large spatio-temporal and multivariate statistical flow datasets using bidirectional flow arrows where both in-coming and out-going flows can be clearly shown coordinated and linked with a choropleth map, histogram or parallel coordinates plot. The demonstrator is implemented with low-level components from our geovisual analytics toolkit GAV Flash designed with the intention to shorten the time and effort needed to develop customized web-enabled interactive visualization applications such as the introduced flow map application.

Place, publisher, year, edition, pages
Elsevier, 2011
Keyword
flow mapping, spatio-temporal data, multivariate, web-enable visualization, geovisual analytics;
National Category
Media and Communication Technology Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:liu:diva-74111 (URN)10.1016/j.sbspro.2011.07.029 (DOI)
Conference
Spatial Thinking and Geographic Information Sciences 2011
Available from: 2012-01-31 Created: 2012-01-19 Last updated: 2017-12-08Bibliographically approved
6. Geovisual Analytics and Storytelling Applied to a Flood Scenario
Open this publication in new window or tab >>Geovisual Analytics and Storytelling Applied to a Flood Scenario
2013 (English)In: GeoViz: Interactive Maps that Help People Think, 2013Conference paper, Oral presentation with published abstract (Other academic)
Abstract [en]

The paper considers how the integration between visualization and storytelling can make statistical findings more comprehensible and accessible to the general public. Traditional practices for geovisual analytics methods applied to official statistics require tools for greater user participation and an improved user experience. The approach set out in this paper allows the analyst (the author) to communicate with interested readers through visual discoveries captured in snapshots with descriptive text. The paper introduces HTML5 based geovisual analytics tools that facilitate storytelling aimed at producing statistical news content in support of an automatic authoring process. The author simply presses a button to publish the knowledge gained from a visual interactive discovery process within an interactive web context that could more engagingly draw the user into reflections and sometimes change a perspective altogether.

Keyword
Geovisual analytics, storytelling, web-enabled, interactive visualizations, multiple-linked views, flood data
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:liu:diva-91458 (URN)
Conference
GeoViz: Interactive Maps that Help People Think. 6-8 March 2013, Hamburg, Germany
Available from: 2013-04-25 Created: 2013-04-25 Last updated: 2013-05-03Bibliographically approved

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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
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  • en-GB
  • en-US
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  • nn-NO
  • nn-NB
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  • Other locale
More languages
Output format
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