EnvirVis2023

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

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EnvirVis 2023: Frontmatter
(The Eurographics Association, 2023) Dutta, Soumya; Feige, Kathrin; Rink, Karsten; Zeckzer, Dirk; Dutta, Soumya; Feige, Kathrin; Rink, Karsten; Zeckzer, Dirk
A Hybrid 3D Eddy Detection Technique Based on Sea Surface Height and Velocity Field
(The Eurographics Association, 2023) Hua, Weiping; Bemis, Karen; Kang, Dujuan; Ozer, Sedat; Silver, Deborah; Dutta, Soumya; Feige, Kathrin; Rink, Karsten; Zeckzer, Dirk
Eddy detection is a critical task for ocean scientists to understand and analyze ocean circulation. In this paper, we introduce a hybrid eddy detection approach that combines sea surface height (SSH) and velocity fields with geometric criteria defining eddy behavior. Our approach searches for SSH minima and maxima, which oceanographers expect to find at the center of eddies. Geometric criteria are used to verify expected velocity field properties, such as net rotation and symmetry, by tracing velocity components along a circular path surrounding each eddy center. Progressive searches outward and into deeper layers yield each eddy's 3D region of influence. Isolation of each eddy structure from the dataset, using it's cylindrical footprint, facilitates visualization of internal eddy structures using horizontal velocity, vertical velocity, temperature and salinity. A quantitative comparison of Okubo-Weiss vorticity (OW) thresholding, the standard winding angle, and this new SSH-velocity hybrid methods of eddy detection as applied to the Red Sea dataset suggests that detection results are highly dependent on the choices of method, thresholds, and criteria. Our new SSH-velocity hybrid detection approach has the advantages of providing eddy structures with verified rotation properties, 3D visualization of the internal structure of physical properties, and rapid efficient estimations of eddy footprints without calculating streamlines. Our approach combines visualization of internal structure and tracking overall movement to support the study of the transport mechanisms key to understanding the interaction of nutrient distribution and ocean circulation. Our method is applied to three different datasets to showcase the generality of its application.
An Interactive Decision Support System for Analyzing Time Related Restrictions in Renaturation and Redevelopment Planning Projects
(The Eurographics Association, 2023) Annanias, Yves; Meinecke, Christofer; Wiegreffe, Daniel; Dutta, Soumya; Feige, Kathrin; Rink, Karsten; Zeckzer, Dirk
The operation of open-cast lignite mines is a large intervention in nature, making the areas uninhabitable even after closing the mines without renaturation processes. Renaturation of these large areas requires a regional planning process which is tied to many conditions and restrictions, such as environmental protection laws. The related information is available only as unstructured text in a variety of documents. Associated temporal aspects and the geographical borders to these textual information have to be linked manually so far. This process is highly time-consuming, error-prone, and tedious. Therefore, the knowledge of experts is often used, but this does not necessarily include all the relevant information. In this paper, we present a system to support the experts in decision-making of urban planning, renaturation, and redevelopment projects. The system allows to plan new projects, while considering spatial and temporal restrictions extracted from text documents. With this, our presented system can also be used to verify compliance with certain legal regulations, such as nature conservation laws.
Interactive Visual Analysis of Regional Time Series Correlation in Multi-field Climate Ensembles
(The Eurographics Association, 2023) Evers, Marina; Böttinger, Michael; Linsen, Lars; Dutta, Soumya; Feige, Kathrin; Rink, Karsten; Zeckzer, Dirk
Spatio-temporal multi-field data resulting from ensemble simulations are commonly used in climate research to investigate possible climatic developments and their certainty. One analysis goal is the investigation of possible correlations among different spatial regions in the different fields to find regions of related behavior. We propose an interactive visual analysis approach that focuses on the analysis of correlations in spatio-temporal ensemble data. Our approach allows for finding correlations between spatial regions in different fields. Detection of clusters of strongly correlated spatial regions is supported by lower-dimensional embeddings. Then, groups can be selected and investigated in detail, e.g., to study the temporal evolution of the selected group, their Fourier spectra or the distribution of the correlations over the different ensemble members. We apply our approach to selected 2D scalar fields of a large ensemble climate simulation and demonstrate the utility of our tool with several use cases.
MultiSat4Slows System for Detecting and Assessing Potentially Active Landslide Regions -- Initial Results from an Ongoing Interdisciplinary Collaboration
(The Eurographics Association, 2023) Sips, Mike; Vassileva, Magdalena; Eggert, Daniel; Motagh, Mahdi; Dutta, Soumya; Feige, Kathrin; Rink, Karsten; Zeckzer, Dirk
Landslides represent one of the major threats worldwide to human life, settlements, and infrastructure. Their occurrence is increasing due to anthropogenic activities and environmental changes. Detecting slow-moving landslides in geographical space, monitoring their kinematic behavior in time, and correlating their changes in displacement to potential influencing factors (i.e., precipitation, land use change detection, and earthquakes) can contribute to forecast possible future landslide collapses. Satellite Earth Observation (EO) technology, such as Multi-temporal Synthetic Aperture Interferometry (MTI), provides millions of ground displacement time series that enable EO data scientists to detect slow-moving landslides in geographical space. In this short paper, we discuss our current Visual Analytics (VA) concept and system that supports EO data scientists to analyze ground displacement time series in a semi-automatic and exploratory manner. The goal is to derive helpful information for landslide hazard assessment, such as the location of slow-moving landslides, main kinematic parameters, changes in displacement trend, and possible correlation with external triggering factors. This paper presents the initial results of our VA system in supporting displacement classification and clustering, depicting detected clusters in the cluster overview visualization, and enabling exploratory data analysis and interactive steering.
Potential of 3D Visualisation and VR as Boundary Object for Redesigning Green Infrastructure - a Case Study
(The Eurographics Association, 2023) Helbig, Carolin; Pößneck, Janine; Hertel, Daniel; Sen, Özgür Ozan; Dutta, Soumya; Feige, Kathrin; Rink, Karsten; Zeckzer, Dirk
Faced with most various challenges (e.g. climate change, biodiversity loss, population growth) that will affect people's future lives in cities, analysis, planning and communication tools that bring together data from different areas and thus create a holistic picture of the environment are needed. This includes data with a socio-economic background as well as data on urban structure, vegetation, climate data and many others. The integration of heterogeneous data and their visualisation are part of the presented case study. The aim was to create a boundary object that facilitates the communication between actors with different social and disciplinary backgrounds in the process of redesigning green infrastructure. 3D visualisation and virtual reality were demonstrated to various stakeholders in transfer events. They confirmed the visualisation's potential to serve as a boundary object. It represents an appropriate group-specific communication tool for a thematic Digital Twin that supports the transformation to a sustainable and resilient city in light of future changes.
pyParaOcean: A System for Visual Analysis of Ocean Data
(The Eurographics Association, 2023) Jain, Toshit; Singh, Varun; Boda, Vijay Kumar; Singh, Upkar; Hotz, Ingrid; Vinayachandran, P.N.; Natarajan, Vijay; Dutta, Soumya; Feige, Kathrin; Rink, Karsten; Zeckzer, Dirk
Visual analysis is well adopted within the field of oceanography for the analysis of model simulations, detection of different phenomena and events, and tracking of dynamic processes. With increasing data sizes and the availability of multivariate dynamic data, there is a growing need for scalable and extensible tools for visualization and interactive exploration.We describe pyParaOcean, a visualization system that supports several tasks routinely used in the visual analysis of ocean data. The system is available as a plugin to Paraview and is hence able to leverage its distributed computing capabilities and its rich set of generic analysis and visualization functionalities. pyParaOcean provides modules to support different visual analysis tasks specific to ocean data, such as eddy identification and salinity movement tracking. These modules are available as Paraview filters and this seamless integration results in a system that is easy to install and use. A case study on the Bay of Bengal illustrates the utility of the system for the study of ocean phenomena and processes.
Seeing Clearly: A Situated Air Quality Visualization with AR Egocentric Viewpoint Extension
(The Eurographics Association, 2023) Martins, Nuno C.; Marques, Bernardo; Rafael, Sandra; Dias, Paulo; Santos, Beatriz Sousa; Dutta, Soumya; Feige, Kathrin; Rink, Karsten; Zeckzer, Dirk
Raising public awareness about air quality is crucial for promoting individual and collective actions to mitigate the harmful effects of air pollution and achieve a healthier and more sustainable environment. This article presents an application that uses Augmented Reality (AR) and Situated Visualization (SV) to increase public awareness of air quality-related issues. The application, created according to the Human-Centered Design (HCD) methodology, overlays a visual representation of realtime air quality data onto the user's immediate environment, taking advantage of SV's contextualization capabilities. However, this kind of AR application faces some challenges, namely the AR egocentric viewpoint limitation of users when using SV. The application incorporates two solutions to mitigate this problem: multi-dynamic camera feeds (using the front and rear cameras of the mobile phone to extend the user's field of view) and side-by-side dynamic AR and Virtual Reality (VR) camera feeds (a transitional interface with an AR camera and a 3D virtual/digital representation of the area where the user is). Finally, the article evaluates the usability of the application and proposes solutions to mitigate egocentric viewpoint limitations. A study was conducted with seven participants with no prior experience in air quality visualization or AR to complete a task that involved pollution information retrieval using only the AR camera, as well as the side-by-side dynamic AR and VR camera feeds. The results showed that by using the solutions, the task completion time decreased by 42%. Additionally, the application received positive feedback regarding ease of understanding, complexity, and involvement, suggesting that it can be truly helpful.
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.
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.
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.
Visualization Environment for Analyzing Extreme Rainfall Events: A Case Study
(The Eurographics Association, 2023) Kress, James; Afzal, Shehzad; Dasari, Hari Prasad; Ghani, Sohaib; Zamreeq, Arjan; Ghulam, Ayman; Hoteit, Ibrahim; Dutta, Soumya; Feige, Kathrin; Rink, Karsten; Zeckzer, Dirk
Extreme rainfall events can devastate infrastructure and public life and potentially induce substantial financial and life losses. Although weather alert systems generate early rainfall warnings, predicting the impact areas, duration, magnitude, occurrence, and characterization as an extreme event is challenging. Scientists analyze previous extreme rainfall events to examine the factors such as meteorological conditions, large-scale features, relationships and interactions between large-scale features and mesoscale features, and the success of simulation models in capturing these conditions at different resolutions and their parameterizations. In addition, they may also be interested in understanding the sources of anomalous amounts of moisture that may fuel such events. Many factors play a role in the development of these events, which vary depending on the locations. In this work, we implement a visualization environment that supports domain scientists in analyzing simulation model outputs configured to predict and analyze extreme precipitation events. This environment enables visualization of important local features and facilitates understanding the mechanisms contributing to such events. We present a case study of the Jeddah extreme precipitation event on November 24, 2022, which caused great flooding and infrastructure damage. We also present a detailed discussion about the study's results, feedback from the domain experts, and future extensions.
Visualization-based Scrollytelling of Coupled Threats for Biodiversity, Species and Music Cultures
(The Eurographics Association, 2023) Kusnick, Jakob; Lichtenberg, Silke; Jänicke, Stefan; Dutta, Soumya; Feige, Kathrin; Rink, Karsten; Zeckzer, Dirk
Biodiversity loss, land use change and international trade are the main causes for an increasing number of endangered species. As a consequence resource scarcity due to endangered species also threatens cultural heritage. To depict such coupled threats and their interconnections for the specific case of musical instruments of a symphony orchestra, the MusEcology project developed a platform to analyze dependencies between musical instrument manufacturing for symphony orchestras, and threat assessments to plant and animal species used as resources. Non-experts are rarely aware of this intertwined threat. Therefore, low-threshold information distribution is urgently needed. We extended the MusEcology platform with scrollytelling functionalities helping domain experts drafting stories that use the visualizations of different dimensions throughout various zoom levels. We outline the utility of our approach with a particular scrollytelling example of the threatened pau-brasil wood (Paubrasilia echinata (Lam.) Gagnon, H.C.Lima & G.P.Lewis), endemic to the Brazilian Mata Atlântica, ever since 1800 used for sticks of high-quality string instrument bows. The story of the natural material from forests to instrument-making workshops, musicians and audiences is told through informative texts, interviews, sound recordings, photographs, and schematic drawings. By bringing together expertise from different fields, this story highlights the interconnected dependencies between ecosystems, culture, and music. The interactive storytelling experiences are aimed at casual users and policy makers to raise awareness of the underlying complexity of biodiversity and instrument making, to support related and induce necessary decision making processes, and to unfold possible pathways towards a more harmonic and sustainable music ecosystem.
Visualizing National Threat Assessments of Tree Species
(The Eurographics Association, 2023) Schnoor, Christina; Rieck, Kristoffer Bargisen; Beech, Emily; Rivers, Malin; Kusnick, Jakob; Jänicke, Stefan; Dutta, Soumya; Feige, Kathrin; Rink, Karsten; Zeckzer, Dirk
Trees are important to ecosystems around the world, and therefore it is vital to know which species are in particular need of conservation. The GlobalTree Portal primarily focuses on threat assessments at the global level, but nation-level investigations of threat assessments are not yet supported. Regional or national assessments are also displayed, even if the species was not evaluated in a country. This paper presents a visualization framework that enables domain experts to analyze national assessments inspired by the GlobalTree Portal. This visualization first provides a global overview of nation-level threat assessment efforts by highlighting those with many national assessments on a choropleth map. For a selected country, the experts can inspect how the tree species assessments are distributed across BGCI's threat level categories Not Evaluated, Data Deficient, Not Threatened, Possibly Threatened, Threatened, and Extinct. The core component is a tree map visualization that displays the genera and the species within the selected country. These are color-coded according to the BGCI threat level, and thus, provide a quick overview of nation-level threat assessments at species and genus levels. The system was developed in close collaboration with biologists from BGCI, who evaluated the visualizations on a regular basis to fit their needs. The results certify the value of our solution for gaining quantitative insights about threat assessments on a national level, and BGCI researchers included the system in their work routines to impact decision making processes on national conservation actions.

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