EnvirVis18

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https://diglib.eg.org/handle/10.2312/2632396

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Browsing EnvirVis18 by Subject "Human"

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    Developing a Concept to Visualize Object-based Weather Forecasting Ensembles
    (The Eurographics Association, 2018) Feige, Kathrin; Posada, Rafael; Blahak, Ulrich; Karsten Rink and Dirk Zeckzer and Roxana Bujack and Stefan Jänicke
    Operational weather forecasters face the challenge of having to process and interpret a large amount of available information. Therefore, condensation of extensive information is required. Research and development of forecasting techniques will on the one hand improve the forecast quality and on the other hand lead to an increased amount of data. A new extensive and valuable data set will emerge from the SINFONY project at Deutscher Wetterdienst (DWD). It aims at a seamless forecast of upcoming convective events from actual time up to some hours by combining observation-based nowcasting techniques and numerical weather prediction (NWP) ensembles into a single system. In this context, a group of products will comprise features ("cell objects") that were extracted from three-dimensional radar measurements and NWP ensemble simulations. A user-oriented intuitive visualization of the new meteorological data is crucial for weather warning and forecasting. Before including new data into forecast operation, extensive tests and evaluations have to be performed. It therefore requires a careful iterative development process with continuous evaluation by the users. To facilitate this process, an initial visualization mock-up is created, which will be used to prototype and refine visualization and data product concepts. The browser-based nature of the tool allows to quickly share an interactive design with the users which, in turn, will help to have in-depth discussions and to collect visualization requirements, before the final concept is implemented into the meteorological workstation. This paper presents the first use-case for this approach: The development of a concept to visualize object-based severe convective events based on matching observed and simulated features.
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    Visual Analysis of Urban Traffic Data based on High-Resolution and High-Dimensional Environmental Sensor Data
    (The Eurographics Association, 2018) Häußler, Johannes; Stein, Manuel; Seebacher, Daniel; Janetzko, Halldor; Schreck, Tobias; Keim, Daniel; Karsten Rink and Dirk Zeckzer and Roxana Bujack and Stefan Jänicke
    Urbanization is an increasing global trend resulting in a strong increase in public and individual transportation needs. Accordingly, a major challenge for traffic and urban planners is the design of sustainable mobility concepts to maintain and increase the long-term health of humans by reducing environmental pollution. Recent developments in sensor technology allow the precise tracking of vehicle sensor information, allowing a closer and more in-depth analysis of traffic data. We propose a visual analytics system for the exploration of environmental factors in these high-resolution and high-dimensional mobility sensor data. Additionally, we introduce an interactive visual logging approach to enable experts to cope with complex interactive analysis processes and the problem of the reproducibility of results. The usefulness of our approach is demonstrated via two expert studies with two domain experts from the field of environment-related projects and urban traffic planning.
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    Web-based 3D Meteo Visualization: 3D Rendering Farms from a New Perspective
    (The Eurographics Association, 2018) Koutek, Michal; Neut, Ian van der; Karsten Rink and Dirk Zeckzer and Roxana Bujack and Stefan Jänicke
    We present an approach to highly responsive and interactive web-based 3D meteorological visualization. We describe important technical aspects of the current proof-of-concept implementation that leverages a 3D rendering farm. The work has been motivated by high demands of operational weather forecasters on ease of use of such a tool, quick system responsiveness and low operational end-to-end latency, instantaneous navigation in forecast-time (max. 5 seconds to navigate over 50 timesteps), and other challenging requirements considering the meteo data volumes and complexity of 3D visualization processing. We had limited computer resources but were allowed to spend any time needed in the back-end processing to maximize the responsiveness of the front-end (web-portal). Our goal was not to implement a perfect system, but to design a suitable architecture and implement a responsive system filled with 2D and 3D visualization products of operational NWP (numerical weather prediction) model runs for testing by forecasters and discovering good use-cases for 3D in operations. We succeed in bringing conventional 2D and 3D visualizations together in one web-portal. Customized visualizations layouts can be created to depict a certain atmospheric phenomenon. The webportal provides display of all 3D products (pre-rendered) also as VR (virtual reality) images through the web-browser. The user can instantaneously rotate the camera-view on 3D products and rotate the vertical cross-sections in the web-browser. The system when used on a 3D high-end workstation with VR display provides fully interactive VR data exploration of any given 3D visualization product shown in the 3D preview in the web-portal. Although from today’'s perspective (modern browsers, Web-GL and cloud 3D computing/visualization technologies) our approach of rigorously pre-rendering 3D products might seem unnecessary, the contrary is true. The pre-rendered 3D views off-line in back-end (pre-caching) make sure the user will not suffer a poor web-portal responsiveness on-line.