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00000cam a2200000Mu 4500 |
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EBSCO_on1232281994 |
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OCoLC |
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20231017213018.0 |
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210123s2021 xx o ||| 0 eng d |
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|a 1232031063
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|a 275982442X
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|a 9782759824427
|q (electronic bk.)
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|a (OCoLC)1232281994
|z (OCoLC)1232031063
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|2 23
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|a UAMI
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|a Big Earth Data in Support of the Sustainable Development Goals (2019)
|h [electronic resource].
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|a Les Ulis :
|b EDP Sciences,
|c 2021.
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|a 1 online resource (212 p.).
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|a Hors Collection
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|a Description based upon print version of record.
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|a Big Earth Data in Support of the SustainableDevelopment Goals (2019) -- Editorial Board -- Preface -- Foreword -- Executive Summary -- Map of Cases on Big Earth Data for the SDGs -- List of Cases on Big Earth Data for the SDGs -- Contents -- Chapter 1 -- Big Earth Data for SDGs -- Data-intensive Paradigm -- Big Earth Data -- Big Earth Data for Implementing SDGs -- Chapter 2 -- SDG 2 Zero Hunger -- Background -- Contributions -- Case Study -- Conclusions -- Chapter 3 -- SDG 6 Clean Water and Sanitation -- Background -- Contributions -- Case Study -- Conclusions
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|a Chapter 4 -- SDG 11 Sustainable Cities and Communities -- Background -- Contributions -- Case Study -- Conclusions -- Chapter 5 -- SDG 13 Climate Action -- Background -- Contributions -- Case Study -- Conclusions -- Chapter 6 -- SDG 14 Life below Water -- Background -- Contributions -- Case Study -- Conclusions -- Chapter 7 -- SDG 15 Life on Land -- Background -- Contributions -- Case Study -- Conclusions -- Chapter 8 -- Summary and Prospects -- Summary and Prospects -- References -- Big Earth Data Science Engineering Program
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|a Big Earth Data in Support of the Sustainable Development Goals 2019 presents 27 case studies of "Big Earth Data Science Engineering Program" (CASEarth) on the development of the Sustainable Development Goals (SDGs) indicators and sustainability assessments in six SDGs, including: SDG 2 (Zero Hunger), SDG 6 (Clean Water and Sanitation), SDG 11 (Sustainable Cities and Communities), SDG 13 (Climate Action), SDG 14 (Life below Water), and SDG 15 (Life on Land). These cases provide in-depth, systematic research and evaluation results on the selected SDGs and indicators by means of data, method models, and decision support at global, regional, national and local scales. The 27 case studies covered 20 indicators, with focus varying from constructing databases, building index systems, and evaluating indicator progress. Each case study first clearly lists the corresponding SDG targets and indicators it addresses, and then proceeds with the research methods, data, analysis results, and prospects for future research. It can be seen that Big Earth Data as a new scientific methodology has started demonstrating its great value and potential for applications in monitoring and evaluating SDGs for China and developing countries around the world. The report concludes with a summary of the major progress in Big Earth Data for SDGs and future research priorities.
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590 |
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|a eBooks on EBSCOhost
|b EBSCO eBook Subscription Academic Collection - Worldwide
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650 |
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|a Sustainable development.
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650 |
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|a Environmental policy.
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650 |
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|a Développement durable.
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650 |
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6 |
|a Environnement
|x Politique gouvernementale.
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650 |
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|a sustainable development.
|2 aat
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650 |
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|a environmental policy.
|2 aat
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650 |
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|a SCIENCE / Life Sciences / General.
|2 bisacsh
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650 |
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|a Environmental policy
|2 fast
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650 |
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|a Sustainable development
|2 fast
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700 |
1 |
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|a Guo, Huadong,
|e editor.
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776 |
0 |
8 |
|i Print version:
|a Sciences, EDP
|t Big Earth Data in Support of the Sustainable Development Goals (2019)
|d Les Ulis : EDP Sciences,c2021
|z 9782759824410
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830 |
|
0 |
|a Hors Collection.
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856 |
4 |
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|z Texto completo
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938 |
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|n 9782759824427
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938 |
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|a ProQuest Ebook Central
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|n EBL6458233
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