Data science applied to sustainability analysis. (2020)

• Record Type: Book
• Further Information: Note: Edited by Jennifer Dunn, Prasanna Balaprakash.
• Editors: Dunn, Jennifer; Balaprakash, Prasanna
• Contents: I. Introduction 1. Overview of Data Science and Sustainability Analysis and State of their Co-Application II. Enironmental Health and Sustainability 2. Applying AI for Conservation 3. Water balance characterization 4. Machine Learning in the Australian Critical Zone III. Energy and Water 5. A Clustering Analysis of Energy and Water Consumption in U.S. States from 1985 to 2015 6. Energy footprint of big data evaluated with data science 7. Solar PV rooftop disaprities by race and ethnicity in US 8. Screening materials for solar pv IV. Sustainable Systems Analysis 9. Machine Learning in life cycle analysis 10. Industry sustainable supply chain management with data science V. Society and Policy 11. Machine Learning to Inform Enhance Environmental Enforcement 12. Sociologically informed use of remote sensing data to predict rural household poverty 13. Trade-offs Between Environmental and Social Indicators of Sustainability VI. Conclusion 14. Research and Development for Increased Application of Data Science in Sustainability analysis
• Publisher Details: Amsterdam : Elsevier
• Publication Date: 2020
• Extent: 1 online resource, illustrations (black and white, and colour)
• Subjects: 338.9270285; Sustainable development -- Data processing
• Languages: English
• ISBNs: 9780128179772
• Related ISBNs: 9780128179765
• Notes: Note: Description based on CIP data; resource not viewed.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.