EnvirVis: Workshop on Visualisation in Environmental Sciences

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3D Visualization of Atmospheric Data for Analytical Approaches
(The Eurographics Association, 2013) Helbig, C.; Rink, K.; Bauer, H.-S.; Wulfmeyer, V.; Frank, M.; Kolditz, O.; O. Kolditz and K. Rink and G. Scheuermann
In the future, climate change will strongly influence our environment and living conditions. Climate simulations that evaluate these changes produce huge data sets. The combination of various variables of the model with spatial data from different sources helps to identify correlations and to study key processes. We visualized results of the WRF model for two regions. For this purpose, we selected visualization methods based on specific research questions and combined these variables in a visual way. These visualizations can be displayed on a PC or in a virtual reality environment and are the basis for scientific communication for evaluating models and discussing the data of the research results.
Air Quality Temporal Analyser: Interactive Temporal Analyses with Visual Predictive Assessments
(The Eurographics Association, 2021) Harbola, Shubhi; Koch, Steffen; Ertl, Thomas; Coors, Volker; Dutta, Soumya and Feige, Kathrin and Rink, Karsten and Zeckzer, Dirk
This work presents Air Quality Temporal Analyser (AQTA), an interactive system to support visual analyses of air quality data with time. This interactive AQTA allows the seamless integration of predictive models and detailed patterns analyses. While previous approaches lack predictive air quality options, this interface provides back-and-forth dialogue with the designed multiple Machine Learning (ML) models and comparisons for better visual predictive assessments. These models can be dynamically selected in real-time, and the user could visually compare the results in different time conditions for chosen parameters. Moreover, AQTA provides data selection, display, visualisation of past, present, future (prediction) and correlation structure among air parameters, highlighting the predictive models effectiveness. AQTA has been evaluated using Stuttgart (Germany) city air pollutants, i:e:, Particular Matter (PM) PM10, Nitrogen Oxide (NO), Nitrogen Dioxide (NO2), and Ozone (O3) and meteorological parameters like pressure, temperature, wind and humidity. The initial findings are presented that corroborate the city’'s COVID lockdown (year 2020) conditions and sudden changes in patterns, highlighting the improvements in the pollutants concentrations. AQTA, thus, successfully discovers temporal relationships among complex air quality data, interactively in different time frames, by harnessing the user's knowledge of factors influencing the past, present and future behavior, with the aid of ML models. Further, this study also reveals that the decrease in the concentration of one pollutant does not ensure that the surrounding air quality would improve as other factors are interrelated.
Animation of Clouds Based on the Interpolation of Weather Forecast Data
(The Eurographics Association, 2014) Hufnagel, Roland; Held, Martin; Olaf Kolditz and Karsten Rink and Gerik Scheuermann
We present a novel algorithm for interpolating discrete cloud data of numerical weather forecasts over time. The interpolation provides a continuous natural transition of the cloud properties over time intervals of several hours. A diffusion-free advection scheme transports cloud properties through the wind field. The algorithm is designed to be embedded in a rendering loop and provides the basis for employing cloud modeling techniques for creating temporal cloud animations of the future weather.
Application, Adaption and Validation of the Thermal Urban Road Normalization Algorithm in a European City
(The Eurographics Association, 2024) Striewski, Friedrich; Comi, Ennio Luigi; Tiefenbacher, Fiona; Lack, Natalie; Battaglia, Mattia; Bleisch, Susanne; Dutta, Soumya; Feige, Kathrin; Rink, Karsten; Nsonga, Baldwin
High resolution thermal infrared (TIR) remote sensing in the urban environment for building insulation inspection requires careful consideration of atmospheric and ground-located factors on the radiometric signal, with one being the microclimatic variability within the scene. Based on the assumption of roads as pseudo invariant objects, the TURN algorithm represents a tool to interpolate local temperature deviation within a scene and to normalize TIR-imagery in order to obtain a microclimate-free result. In this work we conduct adjustments, extensions and simplifications to the algorithm when applying it to a Middle- European urban environment. Based on research conducted in Aalen (Germany), we demonstrate our process of applying TURN for TIR-image normalization at high geometric resolutions and a scene composed of multiple adjacent flight-lines. Additionally, radiometric corrections to the TIR-image were applied prior to its processing by the algorithm. The corrections allow a validation of the TURN results by comparing them to ground-based reference data acquired during the flight with convincing agreement.
Are Environmental RegulationsWorking? A Visual Analytic Approach To Answering Their Impact on Toxic Emissions
(The Eurographics Association, 2016) Burlinson, David; Koehrn, Kara; Subramanian, Kalpathi; Lu, Aidong; Karsten Rink and Ariane Middel and Dirk Zeckzer
Acquisition and analysis of environmental data are essential to the quality, safety and health of human life, and typically consist of heterogeneous, multivariate, and spatio-temporal information collected from different resources. In the United States, the Environmental Protection Agency (EPA) is responsible for protecting human health and the environment; it does so by developing and enforcing regulations to monitor the environment and reduce pollution. In this work, our goal is to obtain a deeper understanding of the effectiveness and impact of EPA regulations; we present preliminary work on an interactive visualization system that attempts to answer specific questions as a function of the dimensions of interest. We demonstrate our system on toxic chemical release reductions resulting from the Clean Air Interstate Rule (CAIR), focusing on the electric utilities sector.We have received positive feedback from our domain expert (toxicologist at the US EPA), indicating that our initial results can more effectively communicate the impacts of environmental regulations, through providing strong visual correlation tools that are currently not available.
Assessing the Geographical Structure of Species Richness Data with Interactive Graphics
(The Eurographics Association, 2021) Morgades, Pauline; Slingsby, Aidan; Moat, Justin; Dutta, Soumya and Feige, Kathrin and Rink, Karsten and Zeckzer, Dirk
Understanding species richness is an important aspect of biodiversity studies and conservation planning, but varying collection effort often results in insufficient data to have a complete picture of species richness. Species accumulation curves can help assess collection completeness of species richness data, but these are usually considered by discrete area and do not consider the geographical structure of collection. We consider how these can be adapted to assess the geographical structure of species richness over geographical space.We design and implement two interactive visualisation approaches to help assess how species richness data varies over continuous geographical space. We propose these designs, critique them, report on the reactions of four ecologists and provide perspectives on their use for assessing geographical incompleteness in species richness.
AtmoVis: Web Based Visualization of Air Quality Data with Interconnected Windows
(The Eurographics Association, 2022) Powley, Benjamin T.; Anslow, Craig; Pearce, David James; Dutta, Soumya; Feige, Kathrin; Rink, Karsten; Zeckzer, Dirk
Air quality has an adverse impact on the health of people living in areas with poor quality air. Hence monitoring is needed to understand the extent of poor air quality. Little work has been done on the effectiveness of visualization techniques for air quality data analysis. Few tools are developed specifically for air quality analysis and many practitioners use general purpose tools, such as spreadsheets or programming. This paper investigates which visualization techniques are most effective in analysing air pollution data. A user study was performed with 20 experienced or expert participants. The participants used a domain specific prototype visualization tool we developed, AtmoVis, to compare spatio-temporal trends among air quality variables using preexisting visualization techniques. AtmoVis allows experts to explore data without the difficulties of programming, or working with spreadsheets. AtmoVis has a windowed layout that connects 6 different visualizations: heat calendar, line plot, monthly rose, site view, monthly averages, and data comparison. The results of the study demonstrated that the heat calendar, line plot, site view, monthly averages, and monthly rose visualizations were effective for analyzing the air quality through AtmoVis. The line plot and the heat calendar were particularly effective for temporal data analysis. AtmoVis was also effective for accessing air quality visualizations and inferring relationships among air quality variables at different monitoring sites. This research can help inform the design of future domain specific interactive tools for air quality analysis. AtmoVis could be extended to include other datasets in the future.
BlendGIS: An Open Source tool for 3d and 4d visualization of ecology related spatial data
(The Eurographics Association, 2013) Eligehausen, J.; Riecken, L.; Borchardt, D.; O. Kolditz and K. Rink and G. Scheuermann
We developed a plugin for the open source modelling, animation and rendering software Blender to import and visualize ecology related spatial data created with the open source GIS QuantumGIS in 3d and 4d. The main goal is on the one hand side to provide a tool that helps to increase the social acceptance in obligatory public participation processes for public funded ecosystem restoration measures and research programms. And on the other hand side to provide a toolkit for visualization of ecological data that also satisfies the scientific needs. We successfully used it in two case studies concerning stream ecology.
Change Point Detection for Ocean Eddy Analysis
(The Eurographics Association, 2018) Banesh, Divya; Wendelberger, Joanne; Petersen, Mark; Ahrens, James; Hamann, Bernd; Karsten Rink and Dirk Zeckzer and Roxana Bujack and Stefan Jänicke
The detection and analysis of mesoscale ocean eddies is a complex task, made more difficult when simulated or observational ocean data are massive. We present the statistical approach of change point detection as a means to help scientists efficiently extract relevant scientific information. We demonstrate the value of change point detection for the characterization of eddy behavior in simulated ocean data. Our results show that change point detection helps with the identification of significant parameter values used in an algorithm or determination of time points that correspond to eddy activity of interest.
A Collaborative Web-Based Environmental Data Visualization and Analysis Framework
(The Eurographics Association, 2015) Lukasczyk, Jonas; Liang, Xing; Luo, Wei; Ragan, Eric D.; Middel, Ariane; Bliss, Nadya; White, Dave; Hagen, Hans; Maciejewski, Ross; A. Middel and K. Rink and G. H. Weber
We present an environmental data visualization framework that features synchronous and asynchronous multi-user interaction with all the benefits of modern web-based applications, such as easy accessibility and cross-platform compatibility. In contrast to outdated web-based network protocols, the proposed framework uses HTML5 Web- Sockets to enable full-duplex communication between server and clients. To demonstrate the framework, we chose the ecological problem of water scarcity in Africa. In this case study, water scarcity is calculated and visualized using various models and parameters, which can easily be shared among users and devices. Hence, we show the potential and the utilization of web technologies for collaborative environmental data exploration on distributed desktop and mobile devices.
A Data-Driven Approach to Categorize Climatic Microenvironments
(The Eurographics Association, 2016) Häb, Kathrin; Middel, Ariane; Ruddell, Benjamin L.; Hagen, Hans; Karsten Rink and Ariane Middel and Dirk Zeckzer
In urban climatology, identifying areas of similar microclimatic conditions helps to relate fine-scale urban morphology variations to their impact on atmospheric surroundings. Mobile transect measurements yield high-resolution microclimate data that allow for the delineation of these areas at a fine scale. However, the resulting spatio-temporal multivariate data is complicated and requires careful analysis and visualization to identify the emergent climatic microenvironments. Our previous work used a glyph-based visualization to comprehensively visualize spatially aggregated multivariate data from mobile measurements over diverse routes. This aggregation was conducted over a regular grid, and the utilized glyphs encoded multivariate relationships, average wind direction during data collection, number of transects traversing a grid cell, and grid cell size. In this paper, we reduce the visual complexity of the resulting map by coloring the background of the grid cells based on a comparison of the glyphs. The result is a gridded map that visually emphasizes spatial zones of similar multivariate relationships and that takes the information encoded by the glyphs into account. A preliminary evaluation shows that the described approach yields zones that line up with the physical structure of the study site.
Determining and Visualizing Potential Sources of Floods
(The Eurographics Association, 2013) Schlegel, S.; Böttinger, M.; Hlawitschka, M.; Scheuermann, G.; O. Kolditz and K. Rink and G. Scheuermann
In this paper, we visually analyze spatio-temporal patterns of different hydrologic parameters relevant for flooding. On the basis of data from climate simulations with a high resolution regional atmosphere model, several extreme events are selected for different river catchments in Germany. By visually comparing the spatial distribution of the main contributions to the run-off along with their temporal evolution for a time period in the 20th and the 21th century, impacts of climate change on the hydrological cycle can be identified.
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.
Digital Earth Viewer: a 4D Visualisation Platform for Geoscience Datasets
(The Eurographics Association, 2021) Buck, Valentin; Stäbler, Flemming; González, Everardo; Greinert, Jens; Dutta, Soumya and Feige, Kathrin and Rink, Karsten and Zeckzer, Dirk
A comprehensive study of the Earth System and its different environments requires understanding of multi-dimensional data acquired with a multitude of different sensors or produced by various models. Here we present a component-wise scalable web-based framework for simultaneous visualisation of multiple data sources. It helps contextualise mixed observation and simulation data in time and space.
Environmental Visualization: Applications to Site Characterization, Remedial Programs, and Litigation Support
(The Eurographics Association, 2013) Ling, Meng; Chen, Jian; O. Kolditz and K. Rink and G. Scheuermann
This paper introduces the application of the visualization technology in the USA environmental consulting industry for site characterization, remedial programs, and litigation support. As a tool visualization allows environmental data that is three-dimensional and transient in nature to be accurately documented, efficiently represented, and ef- fectively communicated to both professionals and the general public. Maximized understanding through enhanced visual perception increases the chance of success in handling complex environmental problems. The key functions, accessibility, and general areas of application of the visualization technology are described and demonstrated with case studies.
EnvirVis 2016: Frontmatter
(Eurographics Association, 2016) Karsten Rink; Ariane Middel; Dirk Zeckzer;
EnVirVis 2017: Frontmatter
(Eurographics Association, 2017) Rink, Karsten; Middel, Ariane; Zeckzer, Dirk; Bujack, Roxana;
EnvirVis 2018: Frontmatter
(The Eurographics Association, 2018) Rink, Karsten; Zeckzer, Dirk; Bujack, Roxana; Jänicke, Stefan; Karsten Rink and Dirk Zeckzer and Roxana Bujack and Stefan Jänicke
EnvirVis 2019: Frontmatter
(The Eurographics Association, 2019) Bujack, Roxana; Feige, Kathrin; Rink, Karsten; Zeckzer, Dirk; Bujack, Roxana and Feige, Kathrin and Rink, Karsten and Zeckzer, Dirk
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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