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    Graceful Degradation for Real-time Visualization of Streaming Geospatial Data

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    Date
    2021
    Author
    Rafael, João
    Moreira, João
    Mendes, Daniel
    Alves, Mário
    Gonçalves, Daniel
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    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.
    BibTeX
    @inproceedings {10.2312:evs.20211058,
    booktitle = {EuroVis 2021 - Short Papers},
    editor = {Agus, Marco and Garth, Christoph and Kerren, Andreas},
    title = {{Graceful Degradation for Real-time Visualization of Streaming Geospatial Data}},
    author = {Rafael, João and Moreira, João and Mendes, Daniel and Alves, Mário and Gonçalves, Daniel},
    year = {2021},
    publisher = {The Eurographics Association},
    ISBN = {978-3-03868-143-4},
    DOI = {10.2312/evs.20211058}
    }
    URI
    https://doi.org/10.2312/evs.20211058
    https://diglib.eg.org:443/handle/10.2312/evs20211058
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    Eurographics Association copyright © 2013 - 2023 
    Send Feedback | Contact - Imprint | Data Privacy Policy | Disable Google Analytics
    Theme by @mire NV
    System hosted at  Graz University of Technology.
    TUGFhA