| |  | Turdukulov, Ulanbek D. | Designing a visual environment for exploration of time series of remote sensing data: In search for convective clouds read moreAbstract: Interactive animated images are often the only means to explore large time series of meteorological data sets. However, despite being interactive, animations still lead to information overload. We firstly look at the factors limiting the exploratory use of animations for studies of precipitating cloud and argue that two main factors are responsible for that: data complexity and animation design based on images that mimic reality. Then we present an example of how the current approach to visualize time series of meteorological images can be improved by computational methods, particularly by feature tracking. Next, we describe the visualization environment and discuss the representational, data mining and interactive functionality resulting from such a combination in an environment that is specifically dedicated to visual exploration and analysis of precipitating clouds. | 2007 |
| | | Zhu, Weizhong | Storylines: Visual exploration and analysis in latent semantic spaces read moreAbstract: Tasks in visual analytics differ from typical information retrieval tasks in fundamental ways. A critical part of a visual analytics is to ask the right questions when dealing with a diverse collection of information. In this article, we introduce the design and application of an integrated exploratory visualization system called Storylines. Storylines provides a framework to enable analysts visually and systematically explore and study a body of unstructured text without prior knowledge of its thematic structure. The system innovatively integrates latent semantic indexing, natural language processing, and social network analysis. The contributions of the work include providing an intuitive and directly accessible representation of a latent semantic space derived from the text corpus, an integrated process for identifying salient lines of stories, and coordinated visualizations across a spectrum of perspectives in terms of people, locations, and events involved in each story line. The system is tested with the 2006 VAST contest data, in particular, the portion of news articles. | 2007 |
| | | Heer, Jeffrey | Vizster: Visualizing Online Social Networks read moreAbstract: Recent years have witnessed the dramatic popularity of online social networking services, in which millions of members publicly articulate mutual friendship relations. Guided by ethnographic research of these online communities, we have designed and implemented a visualization system for playful end-user exploration and navigation of large scale online social networks. Our design builds upon familiar node link network layouts to contribute customized techniques for exploring connectivity in large graph structures, supporting visual search and analysis, and automatically identifying and visualizing community structures. Both public installation and controlled studies of the system provide evidence of the systems usability, capacity for facilitating discovery, and potential for fun and engaged social activity. | 2005 |
| | | Seo, J. | Interactively Exploring Hierarchical Clustering Results read moreAbstract: Sorry no abstract available for this article | 2002 |
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