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

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), sustaina...

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Detalles Bibliográficos
Autor principal: Guo, Huadong. author (author)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Singapore : Springer Nature Singapore 2024.
Edición:1st ed. 2024.
Colección:Sustainable Development Goals Series,
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009860037806719
Descripción
Sumario: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.
Descripción Física:1 online resource (XVIII, 207 p. 117 illus., 114 illus. in color.)
ISBN:9789819732784