Data Science Applied to Sustainability Analysis

ISBN-13: 9780128179765 / Angielski / Miękka / 2021 / 300 str.

Jennifer B. Dunn; Prasanna Balaprakash

Spis treści

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