Abstract | ||
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The analysis of trajectories has become an important field in geographic visualization, as cheap GPS sensors have become commonplace and, in many cases, valuable information can be derived either from the data themselves or their metadata if processed and visualized in the right way. However, showing the "right" information to highlight dependencies or correlations between different measurements remains a challenge, because the technical intricacies of applying a combination of automatic and visual analysis methods prevents the majority of domain experts from analyzing and exploring the full wealth of their movement data. This paper presents an exploration through enrichment approach, which enables iterative generation of metadata based on exploratory findings and is aimed at enabling domain experts to explore their data beyond traditional means. |
Year | DOI | Venue |
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2011 | 10.1145/2093973.2094038 | GIS |
Keywords | DocType | Citations |
visual analysis method,movement data,enrichment approach,enabling domain expert,visual analytics approach,animal movement,full wealth,exploratory finding,domain expert,cheap gps sensor,different measurement,valuable information,visual analysis,visual analytics | Conference | 13 |
PageRank | References | Authors |
0.79 | 7 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
David Spretke | 1 | 41 | 2.88 |
Peter Bak | 2 | 276 | 18.09 |
Halldor Janetzko | 3 | 312 | 20.69 |
Bart Kranstauber | 4 | 18 | 1.79 |
Florian Mansmann | 5 | 589 | 35.91 |
Sarah Davidson | 6 | 13 | 0.79 |