Data Science and Human-Environment Systems
Overview
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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Details
- ISBN-13: 9781108486286
- ISBN-10: 1108486282
- Publisher: Cambridge University Press
- Publish Date: February 2023
- Dimensions: 9.61 x 6.69 x 0.69 inches
- Shipping Weight: 1.42 pounds
- Page Count: 278
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