Abstract
The amount of online data annotated with geospatial and temporal metadata has grown rapidly in the recent years. Providers like Flickr and Twitter are popular, but hard to browse. Many systems exist that, in multiple linked views, show the data under geospatial, temporal, and topical aspects. We unify and extend these systems in a Web application to support comparison of multiple, potentially large result sets of textual queries with extended interaction capabilities. We present a novel fast algorithm using a dynamic Delaunay triangulation for merging glyphs in the map view into so-called circle groups to avoid visual clutter, which is critical for the comparative setting. We evaluate our design by qualitative comparison with existing systems.
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Jänicke, S., Heine, C., Scheuermann, G. (2013). GeoTemCo: Comparative Visualization of Geospatial-Temporal Data with Clutter Removal Based on Dynamic Delaunay Triangulations. In: Csurka, G., Kraus, M., Laramee, R.S., Richard, P., Braz, J. (eds) Computer Vision, Imaging and Computer Graphics. Theory and Application. Communications in Computer and Information Science, vol 359. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38241-3_11
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DOI: https://doi.org/10.1007/978-3-642-38241-3_11
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