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Implementation of a Flow Map Demonstrator for Analyzing Commuting and Migration Flow Statistics Data
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, The Institute of Technology. (Information and Geo Visualization)
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, The Institute of Technology. (Information and Geo Visualization)
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, The Institute of Technology. (Information and Geo Visualization)
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, The Institute of Technology. (Information and Geo Visualization)
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. Vol. 21, 157-166 p.
Keyword [en]
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: urn:nbn:se:liu:diva-74111DOI: 10.1016/j.sbspro.2011.07.029OAI: oai:DiVA.org:liu-74111DiVA: diva2:480460
Conference
Spatial Thinking and Geographic Information Sciences 2011
Available from: 2012-01-31 Created: 2012-01-19 Last updated: 2017-12-08Bibliographically 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, QuanÅström, TobiasJern, Mikael

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