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    Sustainable Development Goals Connectivity Dilemma

    Land and Geospatial Information for Urban and Rural Resilience

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    Contributor(s)
    Rajabifard, Abbas (editor)
    Language
    English
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    Abstract
    Large-scale migration from rural to urban areas, and between countries, affects sustainable development at local, national, and regional levels. To strengthen urban and rural resilience to global challenges, Sustainable Development Goals Connectivity Dilemma: Land and Geospatial Information for Urban and Rural Resilience, brings together leading international geospatial experts to analyze the role of land and geospatial data infrastructures and services for achieving the United Nations' Sustainable Development Goals (SDGs). While the goals outlined in the 2030 Agenda have been longstanding aspirations worldwide, the complexity and connectivity between social, economic, environmental, and governance challenges are changing with large-scale urbanization and population growth. Structured in 5 parts, the themes and objectives of the book are in line with the critical challenges, gaps, and opportunities raised at all UN-GGIM events and UN-GGIM Academic Network forums. Through the different perspectives of scholars, industry actors, and policy-makers, this book provides interdisciplinary analysis and multisectoral expertise on the interconnection between the SDGs, geospatial information, and urban and rural resilience.
    URI
    http://library.oapen.org/handle/20.500.12657/24929
    Keywords
    migration; urban studies
    DOI
    10.4324/9780429290626
    ISBN
    9780429290626
    OCN
    1135855437
    Publisher
    Taylor & Francis
    Publisher website
    https://taylorandfrancis.com/
    Publication date and place
    2020
    Imprint
    CRC Press
    Classification
    Migration, immigration & emigration
    Pages
    376
    Rights
    http://creativecommons.org/licenses/by-nc-nd/4.0/
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    Credits

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    • logo EU
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    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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