| |  | Fisher, Danyel | Hotmap: Looking at Geographic Attention read moreAbstract: Understanding how people use online maps allows data acquisition teams to concentrate their efforts on the portions of the map that are most seen by users. Online maps represent vast databases, and so it is insufficient to simply look at a list of the most-accessed URLs. Hotmap takes advantage of the design of a mapping systems imagery pyramid to superpose a heatmap of the log files over the original maps. Users behavior within the system can be observed and interpreted. This paper discusses the imagery acquisition task that motivated Hotmap, and presents several examples of information that Hotmap makes visible. we discuss the design choices behind Hotmap, including logarithmic color schemes; low-saturation background images; and tuning images to explore both infrequently-viewed and frequently-viewed spaces. | 2007 |
| | | Proulx, Pascale | nSpace and GeoTime: A VAST 2006 Case Study read moreAbstract: GeoTime and nSpace are innovative visual analytic tools that enable investigation and understanding of complex, ambiguous situations. nSpace is a system of systems supporting the whole analytic workflow. GeoTime provides insight into events and behaviors in time and space. Junior analysts used the analytic capabilities these tools supported to investigate the 2006 VAST contest data set and produce an intelligence assessment report. This article describes how these tools created an analytical environment that enabled two novice analysts to examine the scenario, discover patterns, trace connections, assess evidence, visually represent meaningful hypotheses with associated evidence, track progress, collaborate with others, and produce a final report. | 2007 |
| | | Sundvall, E. | Graphical Overview and Navigation of Electronic Health Records in a Prototyping Environment Using Google Earth and openEHR Archetypes. read moreAbstract: This paper describes selected earlier approaches to graphically relating events to each other and to time; some new combinations are also suggested. These are then combined into a unified prototyping environment for visualization and navigation of electronic health records. Google Earth (GE) is used for handling display and interaction of clinical information stored using openEHR data structures and archetypes. The strength of the approach comes from GEs sophisticated handling of detail levels, from coarse overviews to fine-grained details that has been combined with linear, polar and region-based views of clinical events related to time. The system should be easy to learn since all the visualization styles can use the same navigation.The structured and multifaceted approach to handling time that is possible with archetyped openEHR data lends itself well to visualizing and integration with openEHR components is provided in the environment. | 2007 |
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