EnvirVis2023

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https://diglib.eg.org/handle/10.2312/2633346

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Browsing EnvirVis2023 by Subject "Computing methodologies"

Now showing 1 - 3 of 3
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    Spatially Immersive Visualization Domes as a Marine Geoscientific Research Tool
    (The Eurographics Association, 2023) Kwasnitschka, Tom; Schlüter, Markus; Klimmeck, Jens; Bernstetter, Armin; Gross, Felix; Peters, Isabella; Dutta, Soumya; Feige, Kathrin; Rink, Karsten; Zeckzer, Dirk
    This paper describes the development of a series of four spatially immersive visualization environments featuring dome projection screens, a concept borrowed from digital planetariums and science theatres. We outline the potential offered by domes as an architecture and a mature visualization technology in light of current challenges in marine geosciences. Still though, science visualization in domes has historically been focused on narrative rather than exploratory workflows required by scientific visualization. The lasting advantage proven by all of our spatially immersive setups is their potential to catalyze scientific communication.
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    User-Centered Engineering of an Interactive Land Use Exploration Tool
    (The Eurographics Association, 2023) Buhl, Tobias; Marcomin, David; Fallert, Stefan; Blechschmidt, Jana; Bönisch, Franziska; Mark, Robert; Cabral, Juliano Sarmento; Mammen, Sebastian von; Dutta, Soumya; Feige, Kathrin; Rink, Karsten; Zeckzer, Dirk
    In this paper we showcase a system for visualizing and predicting land-use data. The time series-based visualization application strives to improve science communication by facilitating the understanding of land-use change and is backed up by a machine learning-based land-use prediction application that imputes historic data and generates predictions of land use in the future. To present the project, we discuss the system's requirements which were developed by means of a User-Centered Engineering approach, elaborate on its current, early state of development and the corresponding results and finally discuss areas of potential improvement.
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    A Visual-Scenario-Based Environmental Analysis Approach to the Model-Based Management of Water Extremes in Urban Regions
    (The Eurographics Association, 2023) Sen, Özgür Ozan; Backhaus, Lars; Farrokhzadeh, Siamak; Graebling, Nico; Guemar, Sara; Kiszkurno, Feliks; Krebs, Peter; Novoa, Diego; Stamm, Jürgen; Kolditz, Olaf; Rink, Karsten; Dutta, Soumya; Feige, Kathrin; Rink, Karsten; Zeckzer, Dirk
    Due to the present climate crisis, the increasing frequency of the water extreme events around urban regions in river basins may result in drastic losses. One of the most effective preventive measures is a prior analysis of the eventual effects to comprehend the future risks of such water extremes. As well as analysis of historical impacts, the model-based management of water extremes have also a crucial role. Therefore, we present a 3-dimensional visual-scenario-based environmental analysis framework by utilising a Virtual Geographic Environment for the visualisation and the exploration of model-based management of hydrological events in urban regions. Within the study, we focused on the City of Dresden in eastern Germany located in the basin of the Elbe River. We integrated a large set of historical observation data and the results of numerical simulations to explore the consequences of modelled heavy precipitation events within different scenarios. Utilising a framework developed in Unity, the resulting visualisation of different scenarios dealing with water extremes simulated with coupled numerical models constitute the overall focus of this particular study. The resulting application is intended as a collaboration platform in terms of the knowledge transfer among domain scientists, stakeholders and the interested public.