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Big Earth Data in support of the Sustainable Development Goals (2022)--The Belt and Road

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Big Earth Data in support of the Sustainable Development Goals (2022)--The Belt and Roadby Huadong Guo.
作者:	Guo, Huadong.
出版者:	Singapore :Springer Nature Singapore :2024.
面頁冊數:	xviii, 207 p. :ill. (chiefly color), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Sustainable development.
電子資源:	https://doi.org/10.1007/978-981-97-3278-4
ISBN:	9789819732784$q(electronic bk.)

Big Earth Data in support of the Sustainable Development Goals (2022)--The Belt and Road
Guo, Huadong.

Big Earth Data in support of the Sustainable Development Goals (2022)--The Belt and Road[electronic resource] /by Huadong Guo. - Singapore :Springer Nature Singapore :2024. - xviii, 207 p. :ill. (chiefly color), digital ;24 cm. - Sustainable development goals series,2523-3092. - Sustainable development goals series..

Introduction. -- SDG 2 Zero Hunger -- SDG 6 Clean Water and Sanitation -- SDG 7 Affordable and Clean Energy -- SDG 11 Sustainable Cities and Communities -- SDG 13 Climate Action -- SDG 14 Life Below Water -- Chapter 8 SDG 15 Life on Land -- Interactions Among SDGs and Integrated Evaluations -- Summary and Prospects.

Open access.

This open access book showcases the innovative practices of Big Earth Data methods through a collection of global comprehensive case studies to monitor and evaluate indicators for seven SDGs, i.e., zero hunger (SDG 2), clean water and sanitation (SDG 6), affordable and clean energy (SDG 7), sustainable cities and communities (SDG 11), climate action (SDG 13), life below water (SDG 14), life on land (SDG 15), and to analyzes the interactions among multiple SDGs indicators. The emphasis on Big Earth Data is highly relevant within the context of growing global challenges. Disaster risk mitigation, climate change, global food security, resource management, and environmental challenges all are interlinked through earth systems and processes that are independent of human constructs. Therefore these case studies highlight methods and practices of spatial information mining and integrated SDG evaluation, which include evaluating the synergy and trade-off relationships among the SDGs in the context of their correlations; simulating multiple indicators' interactions in environmental, economic, and social scenarios in the context of their temporal variations; designing integrated evaluations of regional SDGs in the context of experience with the study of multiple indicators. Big Earth Data therefore has the potential to support informed policy and decision support at global, regional, and local scales.

ISBN: 9789819732784$q(electronic bk.)

Standard No.: 10.1007/978-981-97-3278-4doiSubjects--Topical Terms:

177699
Sustainable development.

LC Class. No.: GE170

Dewey Class. No.: 628

Big Earth Data in support of the Sustainable Development Goals (2022)--The Belt and Road
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