派博傳思國際中心

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

作者: 代表    時間: 2025-3-21 19:21
書目名稱Integrating Data Science and Earth Science影響因子(影響力)




書目名稱Integrating Data Science and Earth Science影響因子(影響力)學科排名




書目名稱Integrating Data Science and Earth Science網(wǎng)絡公開度




書目名稱Integrating Data Science and Earth Science網(wǎng)絡公開度學科排名




書目名稱Integrating Data Science and Earth Science被引頻次




書目名稱Integrating Data Science and Earth Science被引頻次學科排名




書目名稱Integrating Data Science and Earth Science年度引用




書目名稱Integrating Data Science and Earth Science年度引用學科排名




書目名稱Integrating Data Science and Earth Science讀者反饋




書目名稱Integrating Data Science and Earth Science讀者反饋學科排名





作者: 創(chuàng)作    時間: 2025-3-21 20:27

作者: 蔓藤圖飾    時間: 2025-3-22 01:19

作者: Generosity    時間: 2025-3-22 06:51
Laurens M. Bouwer,Diana Rechid,Bernadette Fritzsch,Daniela Henkel,Thomas Kalbacher,Werner K?ckeritz,rung auf etwa 2 Milliarden; auf jeden Erdbewohner entf?llt also im Durchschnitt ein Jahresverbrauch von 125 kWh. Nur etwa 60% der Erdbewohner jedoch besitzen die M?glichkeit, elektrische Arbeit zu gebrauchen, hiervon sind als arbeitsf?hig wiederum nur etwa 60% zu sch?tzen; d. h. auf jeden arbeitsf?h
作者: Lime石灰    時間: 2025-3-22 12:12
Jens Greinert,Daniela Henkel,Doris Dransch,Laurens M. Bouwer,Holger Brix,Peter Dietrich,Stephan Fricrung auf etwa 2 Milliarden; auf jeden Erdbewohner entf?llt also im Durchschnitt ein Jahresverbrauch von 125 kWh. Nur etwa 60% der Erdbewohner jedoch besitzen die M?glichkeit, elektrische Arbeit zu gebrauchen, hiervon sind als arbeitsf?hig wiederum nur etwa 60% zu sch?tzen; d. h. auf jeden arbeitsf?h
作者: 寬容    時間: 2025-3-22 14:22
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.
作者: cornucopia    時間: 2025-3-22 17:45

作者: 協(xié)議    時間: 2025-3-23 00:38
Data Analysis and Exploration with Visual Approaches,d with a large number of different sensors or produced by various models. To this end, the Digital Earth project developed a set of software solutions to study environmental data sets using visual approaches. In the following chapter, we present three data visualization products developed to deal wi
作者: Mumble    時間: 2025-3-23 01:21

作者: Foreknowledge    時間: 2025-3-23 07:08
Data Analysis and Exploration with Scientific Workflows,hes and digitalization. Computer science and data science offer concepts to face these challenges. We took the concepts of scientific workflows and component-based software engineering and adapted it to the field of geoscience. In close collaboration of computer and geo-experts, we set up an expedie
作者: Freeze    時間: 2025-3-23 11:55
The Digital Earth Smart Monitoring Concept and Tools,retation and conclusion and highlights where, when and how additionally acquired data in the field will support knowledge gain. An extended SMART monitoring concept is introduced which includes SMART sensors, DataFlows, MetaData and Sampling approaches and tools. In the course of the Digital Earth p
作者: recede    時間: 2025-3-23 14:50

作者: thrombosis    時間: 2025-3-23 19:29

作者: 不開心    時間: 2025-3-24 02:16

作者: 性冷淡    時間: 2025-3-24 03:03

作者: 宴會    時間: 2025-3-24 08:01

作者: neutrophils    時間: 2025-3-24 13:50

作者: BLUSH    時間: 2025-3-24 16:42
Data Analysis and Exploration with Computational Approaches,ion in spatial and temporal geoscientific datasets. We present the approaches and results, and finally, we provide some conclusions on the broad applications of these computational data exploration methods and approaches.
作者: 鎮(zhèn)痛劑    時間: 2025-3-24 19:44
Data Analysis and Exploration with Scientific Workflows,ross-disciplinary Investigation of Flood Events” to introduce and prove the concepts in our geoscientific work environment, and assess how the approach tackles the posed challenges. This is exemplarily demonstrated with the Flood Event Explorer which has been developed in Digital Earth.
作者: 松馳    時間: 2025-3-25 00:45
2191-589X for the evaluation of the success of research projects.ProviThis open access book presents the results of three years collaboration between earth scientists and data scientist, in developing and applying data science methods for scientific discovery. The book will be highly beneficial for other rese
作者: GRE    時間: 2025-3-25 05:59
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.
作者: 畢業(yè)典禮    時間: 2025-3-25 07:29

作者: IRATE    時間: 2025-3-25 15:38
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.
作者: 認識    時間: 2025-3-25 17:27
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.
作者: 混合物    時間: 2025-3-25 23:58
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.
作者: Heart-Rate    時間: 2025-3-26 00:37

作者: 攀登    時間: 2025-3-26 05:18
978-3-030-99545-4The Editor(s) (if applicable) and The Author(s) 2022
作者: crumble    時間: 2025-3-26 11:12

作者: 同義聯(lián)想法    時間: 2025-3-26 16:38
https://doi.org/10.1007/978-3-030-99546-1Machine learning; SMART monitoring; Computational data exploration; Digital Earth; Visual data explorati
作者: 大溝    時間: 2025-3-26 18:45

作者: 鬧劇    時間: 2025-3-26 22:55

作者: 使無效    時間: 2025-3-27 01:56

作者: nitroglycerin    時間: 2025-3-27 07:08

作者: fastness    時間: 2025-3-27 12:50
Viktoria Wichert,Laurens M. Bouwer,Nicola Abraham,Holger Brix,Ulrich Callies,Everardo González ávalo
作者: Intact    時間: 2025-3-27 14:52

作者: Defense    時間: 2025-3-27 21:08
The Digital Earth Smart Monitoring Concept and Tools,real time and analyzed to enhance the sensor output concerning accuracy and precision. Although several parts of the four tools are known, technically feasible and sometimes applied in Earth science studies, there is a large discrepancy between knowledge and our derived ambitions and what is feasibl
作者: 搖擺    時間: 2025-3-28 00:29

作者: cancer    時間: 2025-3-28 03:52

作者: opinionated    時間: 2025-3-28 07:40
Nike Fuchs,Gesche Krausend, reichrt in die Million hinein, und die j?hrliche Erzeugung derselben geht in die Hunderttausende. Rechnet man hierzu die für solche Aulagen ben?tigten Elemente, Druckkn?pfe, Tableaus, die Leitungsanlagen, so wird man erkennen, da? diese Industrie allj?hrlich eine ganz bedeutende Produktion aufwe
作者: 威脅你    時間: 2025-3-28 11:20

作者: epinephrine    時間: 2025-3-28 18:19

作者: 按時間順序    時間: 2025-3-28 20:07

作者: EVICT    時間: 2025-3-29 01:54

作者: profligate    時間: 2025-3-29 06:21





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