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Titlebook: Integrating Data Science and Earth Science; Challenges and Solut Laurens M. Bouwer,Doris Dransch,Jens Greinert Book‘‘‘‘‘‘‘‘ 2022 The Editor

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21#
發(fā)表于 2025-3-25 05:59:43 | 只看該作者
Interdisciplinary Collaboration, existing research infrastructure, and develop a sound perspective for knowledge transfer and long-term continuation of the developed approaches. It was deduced that individuals shape the process and that digitization is more than just a technical matter, but depends heavily on individuals and the process of implementation.
22#
發(fā)表于 2025-3-25 07:29:02 | 只看該作者
23#
發(fā)表于 2025-3-25 15:38:40 | 只看該作者
Evaluating the Success of the Digital Earth Project, assessed with the goal to trace the success of the project. This chapter provides the set-up of this evaluation and the results from two?online questionnaires that were held after the start and before the end of the project.
24#
發(fā)表于 2025-3-25 17:27:26 | 只看該作者
Data Science and Earth System Science,eling the complex network of processes and interactions shaping system Earth, particularly profits from embracing data-driven approaches next to observation and modeling. At the end, increasing?digitalization of Earth sciences will lead to cultural transformation towards a Digital Earth Culture.
25#
發(fā)表于 2025-3-25 23:58:35 | 只看該作者
Lessons Learned in the Digital Earth Project,eed for interdisciplinary collaboration, thinking out of the box, the concept of ‘thinking in workflows’ and models for the sustainable implementation of scientific software, data infrastructure and policies.
26#
發(fā)表于 2025-3-26 00:37:56 | 只看該作者
27#
發(fā)表于 2025-3-26 05:18:09 | 只看該作者
978-3-030-99545-4The Editor(s) (if applicable) and The Author(s) 2022
28#
發(fā)表于 2025-3-26 11:12:19 | 只看該作者
29#
發(fā)表于 2025-3-26 16:38:09 | 只看該作者
https://doi.org/10.1007/978-3-030-99546-1Machine learning; SMART monitoring; Computational data exploration; Digital Earth; Visual data explorati
30#
發(fā)表于 2025-3-26 18:45:27 | 只看該作者
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