Rafael, JoãoMoreira, JoãoMendes, DanielAlves, MárioGonçalves, DanielAgus, Marco and Garth, Christoph and Kerren, Andreas2021-06-122021-06-122021978-3-03868-143-4https://doi.org/10.2312/evs.20211058https://diglib.eg.org:443/handle/10.2312/evs20211058The 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.Humancentered computingVisualizationVisual analyticsGeographic visualization10.2312/evs.2021105873-77