EnvirVis2025

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https://diglib.eg.org/handle/10.2312/3607187

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Browsing EnvirVis2025 by Subject "Human centered computing → Geographic visualization"

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    DeepSwitch - A Web-based Tool for the Introduction to Visual Analysis of Spatiotemporal Processes in Oceanographic Data
    (The Eurographics Association, 2025) Hörath, Christian; Derichs, David; Eyl, Lara; Kallenberg, Oliver; Gerrits, Tim; Feige, Kathrin; Nsonga, Baldwin; Rink, Karsten
    Oceanographic data comprises a multitude of information, such as concentrations of materials, temperature, or the movement of water over time. The interpretation and analysis of such data is useful for a large number of domains which all contribute to the understanding of dynamic environmental processes. Complex visual analysis applications are typically handcrafted for the needs of domain scientists and are thus powerful tools for experts, but often require a steep learning curve and involved setups. Visualization used for education and science communication on the other hand is often limited to simplistic 2D views, where temporal aspects are mainly communicated via flip-book animation or side-by-side comparisons, thus limiting the interactive exploration of data and ease of connecting temporal and spatial features. We present DeepSwitch - a web-based visual analysis tool tailored towards an accessible exploration of dynamic processes in oceanographic data. Its design is based on requirements that make it applicable to classroom environments and its central paradigm introduces a fast switch between fixed-time and fixed-depth representation of the data, aiming to minimize cognitive load while providing versatile exploration options for dynamic processes. We demonstrate its usefulness in two analysis scenarios and present preliminary feedback from teachers.
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    Evolution of Extreme Dust Events in 3D Environment
    (The Eurographics Association, 2025) Kress, James; Cui, Wenqiang; Afzal, Shehzad; Ghani, Sohaib; Karumuri, Rama Krishna; Hoteit, Ibrahim; Feige, Kathrin; Nsonga, Baldwin; Rink, Karsten
    Dust is one of the main components of atmospheric particles in desert regions. The concentration, composition, and spatial distribution of these dust particles in the atmosphere vary over time and could significantly impact the weather, climatological conditions, radiative forcing and transfer, and ecosystem dynamics. Scientists and decision-makers are interested in analyzing the evolution of dust events (including their formation, dynamics, and interactions with the environment), understanding the main contributing factors and atmospheric conditions that intensify these events and lead to extreme dust events, examining the role of topographic features, and gaining insights into their relationship with global teleconnections. Scientists use highresolution simulation models (such as WRF-Chem) to simulate the prevalent atmospheric conditions centered around extreme events and examine the model outputs to understand such events better. These simulation datasets are extremely large in scale, depending on the spatial domain, spatiotemporal resolutions, simulation duration, and number of atmospheric parameters. They need a specialized environment that facilitates analyzing such datasets. To this end, we provide a 3D visualization system that facilitates the analysis of dust simulation model outputs and provides information about dust loading, transport, evolution, deposition, and intensification into an extreme event. This system also aids in understanding the interactions between different atmospheric parameters, the impact of terrain surface characteristics, and more, providing a holistic view of the dust events. We present a case study demonstrating the system's capabilities in analyzing extreme dust events and also include feedback from the domain experts, along with a discussion on future extensions.