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Auflistung nach Schlagwort "Environmental Computer Science"

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  • Textdokument
    Comparison Spatio-Temporal Prediction Approaches of Point-Referenced Environmental Data
    (INFORMATIK 2022, 2022) Dorffer,Nina; Bruns,Julian; Abecker,Andreas; Lossow,Stefan
    Due to climate change and the effect on human health, there is an urgency to observe and understand the environment. To achieve this goal, knowledge about the development of environmental parameters over time and space is necessary. The analysis of the underlying data can therefore be done with spatial, temporal or even spatio-temporal methods. These methods can also be combined: First spatial,then temporal analyses and vice versa. In this work, we compare the effect of the decision whether to first analyze the data spatially, temporally or both simultaneously. We chose temperature data in Baden-Württemberg, yearly and monthly aggregated, for our comparison.
  • Textdokument
    A meta analysis of the status of AI in environmental computer science
    (INFORMATIK 2021, 2021) Sinwell, Lukas; Bruns, Julian; Budde, Matthias; Abecker, Andreas
    Artificial Intelligence is hyped as one of the key enablers of the future which will help to solve key challenges of humanity. The research field which already addresses many of those challenges is Environmental (Computer) Science. Therefore, it seems like a natural fit to combine both fields. AI can provide algorithms and methods to ease the computations and extend the existing (simulation) models of the environmental sciences. The environmental sciences already have in-depth knowledge of the problems at hand, can evaluate and interpret both the relative importance of input data as well as the results. However, to achieve this synergy, a strong foundation and knowledge of previous work is needed. This work aims to contribute to this foundation by providing a data-driven overview of AI-based research activities in the field of environmental computer science.