EnvirVis2020

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https://diglib.eg.org/handle/10.2312/2632903

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    EnvirVis 2020: Frontmatter
    (The Eurographics Association, 2020) Dutta, Soumya; Feige, Kathrin; Rink, Karsten; Zeckzer, Dirk; Dutta, Soumya and Feige, Kathrin and Rink, Karsten and Zeckzer, Dirk
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    Visual Analysis of a Full-Scale-Emplacement Experiment in the Underground Rock Laboratory Mont Terri using Fiber Surfaces
    (The Eurographics Association, 2020) Raith, Felix; Blecha, Christian; Rink, Karsten; Wang, Wenqing; Kolditz, Olaf; Shao, Hua; Scheuermann, Gerik; Dutta, Soumya and Feige, Kathrin and Rink, Karsten and Zeckzer, Dirk
    In the Underground Rock Laboratory Mont Terri, research has been conducted for over 20 years into the storage of radioactive waste in Opalinus Clay. The fitness for such storage depends on the prevailing geological material. Experiments and multiphysics simulations investigate the long-term changes in the Opalinus Clay. The resulting data are highly multivariate, and environmental scientists visually analyze the data using predefined color lookup tables. The fiber surfaces of Raith et al. offer the researchers a new approach for visual analysis. However, the existing algorithm for the calculation is subject to certain limitations due to special cases that lead to no or incomplete fiber surfaces. In this paper, we improve the fiber surface algorithm of Raith et al., which reduces numerical errors and accelerates the existing algorithm. This improvement also makes it possible that the interactor no longer needs to be closed and convex. We then use the Full-Scale Emplacement Experiment to show how the improved algorithm can help in the visual analysis of multivariate data.
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    SoilScanner: 3D Visualization for Soil Profiling using Portable X-ray Fluorescence
    (The Eurographics Association, 2020) Pham, Vung; Weindorf, David; Dang, Tommy; Dutta, Soumya and Feige, Kathrin and Rink, Karsten and Zeckzer, Dirk
    Soil scientists perform similar types of exploratory analysis repeatedly, such as generating the spatial distribution of chemical elements. The soil analysis process is time-consuming (may take days or weeks), labor-intensive (involving many people with different expertise for data collection, measurements, visual representation, and data analysis), and involving various tools (from traditional software, such as Microsoft Excel, to some complicated packages such as ArcGIS and MatLab). Inspired by medical scanning, this paper proposes a 3D visual solution, which can be generated via a web interface, allowing Soil scientists to perform on-the-field analysis. Our visualization prototype, named SoilScanner, supports a full range of interactive operations, such as ranking, filtering, brushing and linking, and detail on demand. We also demonstrated the usability of our SoilScanner visualizations on the soil profiles in West Texas, USA, collected via portable X-ray fluorescence spectrometers.
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    Visual Exploration of Climate-Related Volunteered Geographic Information
    (The Eurographics Association, 2020) Navarra, Carlo; Opach, Tomasz; Vrotsou, Katerina; Joling, Almar; Wilk, Julie; Neset, Tina S.; Dutta, Soumya and Feige, Kathrin and Rink, Karsten and Zeckzer, Dirk
    This paper describes two approaches for visually exploring climate-related data collected within the citizen science research project, CitizenSensing. The project addresses the need of European cities and their citizens for enhanced knowledge of sitespecific conditions regarding climatic risks and adaptation measures. The visual exploration approaches discussed are: (1) a web portal enabling users to gain a low-level overview of the collected data on a map, and (2) a visual analysis tool facilitating in-depth visual data exploration in search of spatio-temporal patterns. The aim of the study is to assess and discuss the potential of such visual exploration approaches in the context of Volunteered Geographic Information.