EnvirVis: Workshop on Visualisation in Environmental Scienceshttps://diglib.eg.org:443/handle/10.2312/9752024-03-19T09:35:26Z2024-03-19T09:35:26ZVisualization-based Scrollytelling of Coupled Threats for Biodiversity, Species and Music CulturesKusnick, JakobLichtenberg, SilkeJänicke, Stefanhttps://diglib.eg.org:443/handle/10.2312/envirvis202311122023-07-07T08:34:28Z2023-01-01T00:00:00ZVisualization-based Scrollytelling of Coupled Threats for Biodiversity, Species and Music Cultures
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.
2023-01-01T00:00:00ZVisualizing National Threat Assessments of Tree SpeciesSchnoor, ChristinaRieck, Kristoffer BargisenBeech, EmilyRivers, MalinKusnick, JakobJänicke, Stefanhttps://diglib.eg.org:443/handle/10.2312/envirvis202311112023-07-07T08:34:59Z2023-01-01T00:00:00ZVisualizing National Threat Assessments of Tree Species
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.
2023-01-01T00:00:00ZMultiSat4Slows System for Detecting and Assessing Potentially Active Landslide Regions -- Initial Results from an Ongoing Interdisciplinary CollaborationSips, MikeVassileva, MagdalenaEggert, DanielMotagh, Mahdihttps://diglib.eg.org:443/handle/10.2312/envirvis202311102023-07-07T08:34:58Z2023-01-01T00:00:00ZMultiSat4Slows System for Detecting and Assessing Potentially Active Landslide Regions -- Initial Results from an Ongoing Interdisciplinary Collaboration
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.
2023-01-01T00:00:00ZUser-Centered Engineering of an Interactive Land Use Exploration ToolBuhl, TobiasMarcomin, DavidFallert, StefanBlechschmidt, JanaBönisch, FranziskaMark, RobertCabral, Juliano SarmentoMammen, Sebastian vonhttps://diglib.eg.org:443/handle/10.2312/envirvis202311092023-08-01T09:07:06Z2023-01-01T00:00:00ZUser-Centered Engineering of an Interactive Land Use Exploration Tool
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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