Open this publication in new window or tab >>2011 (English)In: Proceedings of SPIE, the International Society for Optical Engineering: SPIE: Electronic Imaging Science and Technology, Visualization and Data Analysis / [ed] Chung Wong, Pak; Park, Jinah; Hao, Ming C.; Chen, Chaomei; Börner, Katy; Kao, David L.; Roberts, Jonathan C., SPIE, Bellingham WA, ETATS-UNIS: SPIE - International Society for Optical Engineering, 2011, p. 78680R-78680R-12Conference paper, Published paper (Refereed)
Abstract [en]
We introduce a framework and class library (GAV Flash) implemented in Adobe’s ActionScript, designed with the intention to significantly shorten the time and effort needed to develop customized web-enabled applications for visual analytics or geovisual analytics tasks. Through an atomic layered component architecture, GAV Flash provides a collection of common geo- and information visualization representations extended with motion behavior including scatter matrix, extended parallel coordinates, table lens, choropleth map and treemap, integrated in a multiple, time-linked layout. 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. Following the Visual Analytics mantra, a mechanism “snapshot” for saving the explorative results of a reasoning process is developed 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
SPIE, Bellingham WA, ETATS-UNIS: SPIE - International Society for Optical Engineering, 2011
Series
Proceedings of SPIE, the International Society for Optical Engineering, ISSN 0277-786X ; vol. 7868
Keywords
web-enabled visualization toolkit, geovisual analytics, storytelling, layered component architecture, multiple-linked views
National Category
Computer and Information Sciences Other Computer and Information Science
Identifiers
urn:nbn:se:liu:diva-74108 (URN)10.1117/12.872250 (DOI)978-0-8194-8405-5 (ISBN)
Conference
Conference on Visualization and Data Analysis 2011 (EI107)
2012-01-312012-01-192025-02-18Bibliographically approved