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Big Earth Data in support of the Sustainable Development Goals (2023) - China

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Big Earth Data in support of the Sustainable Development Goals (2023) - China/ by Huadong Guo.
作者:	Guo, Huadong.
出版者:	Singapore :Springer Nature Singapore : : 2025.,
面頁冊數:	xx, 214 p. :ill. (chiefly col.), digital ; : 24 cm.;
Contained By:	Springer Nature eBook
標題:	Sustainable development - Data processing. -
電子資源:	https://doi.org/10.1007/978-981-95-2636-9
ISBN:	9789819526369

Big Earth Data in support of the Sustainable Development Goals (2023) - China
Guo, Huadong.

Big Earth Data in support of the Sustainable Development Goals (2023) - China[electronic resource] /by Huadong Guo. - Singapore :Springer Nature Singapore :2025. - xx, 214 p. :ill. (chiefly col.), 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 -- SDG11 Sustainable Cities and Communities.

Open access.

This open-access book presents innovative applications of Big Earth Data through a set of comprehensive case studies conducted in China. The studies demonstrate how advanced data methods can be employed to monitor and evaluate indicators for seven Sustainable Development Goals (SDGs): 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), and life on land (SDG 15). In addition, the book explores the complex interactions among multiple SDG indicators. The emphasis on Big Earth Data is particularly timely in view of pressing global challenges. Issues such as disaster risk reduction, climate change, food security, resource management, and environmental protection are inherently interconnected through Earth systems and processes that transcend political and social boundaries. Within this context, the case studies highlight methodological advances in spatial information mining and integrated SDG evaluation, including analyzing synergies and trade-offs among SDGs through correlation studies, simulating interactions of multiple indicators under projected environmental, economic, and social scenarios, and developing integrated frameworks for regional SDG assessment. Taken together, these findings illustrate the potential of Big Earth Data to provide robust scientific evidence in support of policy formulation and decision-making at global, regional, and local levels.

ISBN: 9789819526369

Standard No.: 10.1007/978-981-95-2636-9doiSubjects--Topical Terms:

1417208
Sustainable development
--Data processing.

LC Class. No.: HC79.E5

Dewey Class. No.: 338.927

Big Earth Data in support of the Sustainable Development Goals (2023) - China
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