Various time-based visualization techniques have been designed to support the temporal analysis of data collections. While quantities play a secondary role in traditional timelines that reserve space for each individual data item to be observed, time graphs rather display quantitative information and they provide interaction means to filter for a subset of the data. Timages is a hybrid approach that enhances quantitative time graphs with qualitative information in an infographic-style. By (1) scaling thumbnails of data items dependent on relevance to the observed topic and by (2) time-dependent positioning these thumbnails inside a temporally aligned area with a novel space-filling strategy, the most relevant items in the entire data collection as well as predominant data items of certain time ranges are instantly seizable without the need to interact with the time graph.
| Identifer | oai:union.ndltd.org:DRESDEN/oai:qucosa:de:qucosa:32800 |
| Date | 25 January 2019 |
| Creators | Jänicke, Stefan |
| Source Sets | Hochschulschriftenserver (HSSS) der SLUB Dresden |
| Language | English |
| Detected Language | English |
| Type | doc-type:conferenceObject, info:eu-repo/semantics/conferenceObject, doc-type:Text |
| Rights | info:eu-repo/semantics/openAccess |
| Relation | urn:nbn:de:bsz:15-qucosa2-327974, qucosa:32797 |
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