Full Citation
Title: Data Science and Human-Environment Systems
Citation Type: Book, Whole
Publication Year: 2023
ISBN: 9781108638838
ISSN:
DOI: 10.1017/9781108638838
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Abstract: Transformation of the Earth's social and ecological systems is occurring at a rate and magnitude unparalleled in human experience. Data science is a revolutionary new way to understand human-environment relationships at the heart of pressing challenges like climate change and sustainable development. However, data science faces serious shortcomings when it comes to human-environment research. There are challenges with social and environmental data, the methods that manipulate and analyze the information, and the theory underlying the data science itself; as well as significant legal, ethical and policy concerns. This timely book offers a comprehensive, balanced, and accessible account of the promise and problems of this work in terms of data, methods, theory, and policy. It demonstrates the need for data scientists to work with human-environment scholars to tackle pressing real-world problems, making it ideal for researchers and graduate students in Earth and environmental science, data science and the environmental social sciences.
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Authors: Manson, Steven M.
Publisher: Cambridge University Press
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Pages: 1-259
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Data Collections: IPUMS NHGIS
Topics: Land Use/Urban Organization, Natural Resource Management, Population Data Science, Population Mobility and Spatial Demography
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