Graceful Degradation for Real-time Visualization of Streaming Geospatial Data
| dc.contributor.author | Rafael, João | en_US |
| dc.contributor.author | Moreira, João | en_US |
| dc.contributor.author | Mendes, Daniel | en_US |
| dc.contributor.author | Alves, Mário | en_US |
| dc.contributor.author | Gonçalves, Daniel | en_US |
| dc.contributor.editor | Agus, Marco and Garth, Christoph and Kerren, Andreas | en_US |
| dc.date.accessioned | 2021-06-12T11:03:32Z | |
| dc.date.available | 2021-06-12T11:03:32Z | |
| dc.date.issued | 2021 | |
| dc.description.abstract | The availability of devices that can record locations and are connected to the Internet creates a huge amount of geospatial data that are continuously streamed. The informative visualization of such data is a challenging problem, given their sheer volume, and the real-time nature of the incoming stream. A simple approach like plotting all datapoints would generate visual noise, and not scale well. To tackle this problem, we have developed a visualization technique based on graceful degradation along three overlaid time periods (ongoing, recent, and history), each with a different visual idiom. A usability test of the proposed technique showed promising results. | en_US |
| dc.description.sectionheaders | Analytics and Applications | |
| dc.description.seriesinformation | EuroVis 2021 - Short Papers | |
| dc.identifier.doi | 10.2312/evs.20211058 | |
| dc.identifier.isbn | 978-3-03868-143-4 | |
| dc.identifier.pages | 73-77 | |
| dc.identifier.uri | https://doi.org/10.2312/evs.20211058 | |
| dc.identifier.uri | https://diglib.eg.org:443/handle/10.2312/evs20211058 | |
| dc.publisher | The Eurographics Association | en_US |
| dc.subject | Human | |
| dc.subject | centered computing | |
| dc.subject | Visualization | |
| dc.subject | Visual analytics | |
| dc.subject | Geographic visualization | |
| dc.title | Graceful Degradation for Real-time Visualization of Streaming Geospatial Data | en_US |