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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.

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.

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We propose a Virtual Geographic Environment for the exploration of hydro-meteorological events. Focussing on the catchment of the Müglitz River in south-eastern Germany, a large collection of observation data acquired via a wide range of measurement devices has been integrated in a geographical reference frame for the region. Results of area-wide numerical simulations for both groundwater and soil moisture have been added to the scene and allow for the exploration of the delayed consequences of transient phenomena such as heavy rainfall events and their impact on the catchment scale. Implemented in a framework based on Unity, this study focusses on the concurrent visualisation and synchronised animation of multiple area wide datasets from different environmental compartments. The resulting application allows to explore the region of interest during specific hydrological events for an assessment of the interrelation of processes. As such, it offers the opportunity for knowledge transfer between researchers of different domains as well as for outreach to an interested public.

In the Underground Rock Laboratory Mont Terri, research has been conducted for over 20 years into the storage of radioactive waste in Opalinus Clay. The fitness for such storage depends on the prevailing geological material. Experiments and multiphysics simulations investigate the long-term changes in the Opalinus Clay. The resulting data are highly multivariate, and environmental scientists visually analyze the data using predefined color lookup tables. The fiber surfaces of Raith et al. offer the researchers a new approach for visual analysis. However, the existing algorithm for the calculation is subject to certain limitations due to special cases that lead to no or incomplete fiber surfaces. In this paper, we improve the fiber surface algorithm of Raith et al., which reduces numerical errors and accelerates the existing algorithm. This improvement also makes it possible that the interactor no longer needs to be closed and convex. We then use the Full-Scale Emplacement Experiment to show how the improved algorithm can help in the visual analysis of multivariate data.

Capnocytophaga canimorsus is a Gram-negative bacterium present in the oral cavities of cats and dogs. It is known for its capability to cause life-threatening sepsis following a dog bite, especially in immunocompromised patients. We report the case of a 67-year-old man who suffered from septic shock and multiorgan failure presumably following contamination of a pre-existing minor skin lesion by canine saliva. The purpose of this report is to raise awareness of Capnocytophaga canimorsus among physicians when faced with a patient presenting with fulminant septic shock and Gram-negative bacteremia, who has been exposed to dogs.