Literature DB >> 22184261

Visualizing Dynamic Data with Maps.

Daisuke Mashima, Stephen G Kobourov, Yifan Hu.   

Abstract

Maps offer a familiar way to present geographic data (continents, countries), and additional information (topography, geology), can be displayed with the help of contours and heat-map overlays. In this paper, we consider visualizing large-scale dynamic relational data by taking advantage of the geographic map metaphor. We describe a map-based visualization system which uses animation to convey dynamics in large data sets, and which aims to preserve the viewer's mental map while also offering readable views at all times. Our system is fully functional and has been used to visualize user traffic on the Internet radio station last.fm, as well as TV-viewing patterns from an IPTV service. All map images in this paper are available in high-resolution at [1] as are several movies illustrating the dynamic visualization.

Year:  2011        PMID: 22184261     DOI: 10.1109/TVCG.2011.288

Source DB:  PubMed          Journal:  IEEE Trans Vis Comput Graph        ISSN: 1077-2626            Impact factor:   4.579


  2 in total

1.  Collection and visualization of dietary behavior and reasons for eating using Twitter.

Authors:  Melanie Hingle; Donella Yoon; Joseph Fowler; Stephen Kobourov; Michael Lee Schneider; Daniel Falk; Randy Burd
Journal:  J Med Internet Res       Date:  2013-06-24       Impact factor: 5.428

2.  Multi-scale visual analysis of time-varying electrocorticography data via clustering of brain regions.

Authors:  Sugeerth Murugesan; Kristofer Bouchard; Edward Chang; Max Dougherty; Bernd Hamann; Gunther H Weber
Journal:  BMC Bioinformatics       Date:  2017-06-06       Impact factor: 3.169

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.