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Advances and New Trends in Environmental Informatics

Digital Twins for Sustainability

Volker Wohlgemuth (Hrsg.), Kostas Karatzas (Hrsg.), Andreas Kamilaris (Hrsg.), Ioannis N. Athanasiadis (Hrsg.)

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ca. 106,99 €
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Springer International Publishing img Link Publisher

Naturwissenschaften, Medizin, Informatik, Technik / Informatik

Beschreibung

This book is an outcome of the 34th International Conference EnviroInfo 2020, hosted virtually in Nicosia, Cyprus by the Research Centre on Interactive Media, Smart Systems and Emerging Technologies (RISE). It presents a selection of papers that describe innovative scientific approaches and ongoing research in environmental informatics and the emerging field of environmental sustainability, promoted and facilitated by the use of information and communication technologies (ICT). The respective articles cover a broad range of scientific aspects including advances in core environmental informatics-related technologies such as earth observation, environmental modelling, big data and machine learning, robotics, smart agriculture and food solutions, renewable energy-based solutions, optimization of infrastructures, sustainable industrial processes, and citizen science, as well as applications of ICT solutions intended to support societal transformation processes toward the more sustainable management of resource use, transportation and energy supplies. Given its scope, the book is essential reading for scientists, experts and students in these fields of research.


Chapter “Developing a Configuration System for a Simulation Game in the Domain of Urban CO2 Emissions Reduction” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

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Schlagwörter

Computational Sustainability, Earth Observation and Monitoring, Health and food security, Smart cities, Big Data, Open and transdisciplinary science, Applications of geographical information systems, Environmental modelling and simulation, Environmental informatics, Environmental information systems, Machine learning, Sustainable transportation and energy, Climate change adaptation and mitigation, Green software engineering