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
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. Vol. 11, no 1, 22-42 p.
web-enabled visualization toolkit, geovisual analytics, storytelling, layered component architecture, multiple-linked views
Media and Communication Technology Other Computer and Information Science
IdentifiersURN: urn:nbn:se:liu:diva-74199DOI: 10.1177/1473871611425870ISI: 000300271700003OAI: oai:DiVA.org:liu-74199DiVA: diva2:481077