eplus (Univ. of Salzburg)
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journal.kommunikation-medien / Schreiber, Gerhard & Ohly, Lukas (2024) (Hrsg.): KI: Text: Diskurse über KI-Textgeneratoren (Franka Bergmann)
No full textAGIT Conference / Understanding User Engagement and Revisitation for Spatial Decision Support Systems in Pollinator Ecology
No full textSpatial decision support systems (SDSS) have potential utility in a wide variety of geospatial domains, including ecological informatics, site selection, urban planning, and hazard mitigation. User-centered design approaches are often used to characterize user needs, to develop prototypes, and to evaluate implementations of SDSS. However, we do not have a wealth of empirical results to draw upon when it comes to understanding why users want to use an SDSS or what qualities of an SDSS are likely to encourage their repeated usage. In this paper we highlight and contextualize results from recent work to design and evaluate an SDSS focused on pollinator health in support of beekeepers. We focus specifically on what factors seem to drive user’s desire to use a system more than once. Our findings help pave the way for future work to address this crucial challenge in SDSS design to ensure that our systems become seen as more than single-use platforms
AGIT Conference / 3D-Storytelling in Urban Planning - a case study in the context of the re-implementation of a land use plan
No full textWith interactive 3D city models, abstract map representations from land use plans can be prepared in an excellent and easy-to-understand manner as an informal tool for citizens and political committees. This case study shows the real use of 3D-Storytelling as part of the re-implemtation of the land use plan ("Flächennutzungsplan") of a Bavarian municipality
AGIT Conference / Land Cover analysis of European wind park development
No full textThis study examines the multifaceted land use changes associated with the development of wind energy infrastructure across Europe during the period from 2015 to 2023. Utilizing high-resolution multispectral data from the Copernicus Sentinel-2 satellite in combination with a sophisticated Multivariate Alteration Detection (MAD) algorithm, our research quantifies both the direct physical impacts and the indirect ecological and socio-economic consequences of wind farm construction. The comprehensive analysis encompasses over 15,000 turbines spread across 1829 wind parks in 18 European countries, capturing diverse regional patterns of land transformation. Key indicators include the conversion of agricultural and forest lands for turbine foundations, access roads, and associated electrical infrastructure, as well as secondary effects such as habitat fragmentation, biodiversity loss, and shifts in land ownership. The results reveal that while the direct spatial footprint of wind energy installations is modest compared to fossil fuel infrastructure, the cumulative indirect impacts on land use can be substantial, particularly in regions with intensive renewable energy development. Notably, the Mediterranean and Boreal regions experienced higher rates of land use change relative to the continental and Atlantic areas, highlighting significant regional disparities in environmental pressures. These findings underscore the importance of integrating advanced geospatial techniques in environmental impact assessments and call for balanced, strategic planning that reconciles renewable energy expansion with sustainable land management practices. Overall, this study contributes critical insights into the environmental trade-offs inherent in the global transition towards renewable energy sources
AGIT Conference / Modeling energy consumption of (fuel-cell) battery-electric buses
No full textTo meet national and international climate goals, a transition from conventional fuels like diesel to battery-electric (BE) andhydrogen fuel cell electric (FCE) mobility is essential. Therefore, the project ZEMoS (Zero Emission Mobility Salzburg) was launched, focusing on bus routes in the alpine regions of Salzburg. With the help of spatial analysis and data management tools, a representative data source is generated to calculate energy consumption in cold and steep mountain areas. Two energy consumption modeling approaches – physical and regression models – are applied and compared with real-world measurements from a test operation on an alpine route. The physical model demonstrated a higher level of accuracy inpredicting drivetrain power energy consumption. This validated data is subsequently applied to the study area’s bus routes, serving as a foundation for fleet management and cost analysis
AGIT Conference / Digitalisierung und Weiterverarbeitung der Daten von Arbeitsstellen auf Straßen in Bayern
No full textAGIT Conference / Efficient Management of Spatio-Temporal Raster Data in Sovereign Cloud Environments for Machine Learning Applications
No full textAGIT Conference / Offene Katasterdaten? – Oder wie der Clash zwischen der HVD-Verordnung der EU und dem deutschen Föderalismus zum Bedarf nach OpenData++ führt
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