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Chapter 1 - Overview of data science and sustainability analysis
Prasanna Balaprakash and Jennifer B. Dunn
Pages 1-14 - Book chapterNo access
Part 1 - Environmental Health and Sustainability
Pages 15-16 - Book chapterAbstract only
Chapter 2 - Applying AI to conservation challenges
Niraj Swami
Pages 17-28 - Book chapterAbstract only
Chapter 3 - Water balance estimation in Australia through the merging of satellite observations with models
Valentijn R.N. Pauwels, Ashley Wright, ... Stefania Grimaldi
Pages 29-42 - Book chapterAbstract only
Chapter 4 - Machine learning in the Australian critical zone
Elisabeth N. Bui
Pages 43-78 - Book chapterNo access
PART 2 - Energy and Water
Pages 79-80 - Book chapterAbstract only
Chapter 5 - A clustering analysis of energy and water consumption in U.S. States from 1985 to 2015
Evgenia Kapousouz, Abolfazl Seyrfar, ... Hossein Ataei
Pages 81-108 - Book chapterAbstract only
CHAPTER 6 - Exploring rooftop solar photovoltaics deployment and energy injustice in the US through a data-driven approach
Sergio Castellanos, Deborah A. Sunter and Daniel M. Kammen
Pages 109-128 - Book chapterAbstract only
Chapter 7 - Data-driven materials discovery for solar photovoltaics
Leon R. Devereux and Jacqueline M. Cole
Pages 129-164 - Book chapterNo access
PART 3 - Sustainable Systems Analysis
Pages 165-166 - Book chapterAbstract only
Chapter 8 - Machine learning in life cycle assessment
Mikaela Algren, Wendy Fisher and Amy E. Landis
Pages 167-190 - Book chapterAbstract only
Chapter 9 - Industry sustainable supply chain management with data science
Deboleena Chakraborty and Richard K. Helling
Pages 191-202 - Book chapterNo access
PART 4 - Society and Policy
Pages 203-204 - Book chapterAbstract only
Chapter 10 - Deep learning with satellite imagery to enhance environmental enforcement
Cassandra Handan-Nader, Daniel E. Ho and Larry Y. Liu
Pages 205-228 - Book chapterAbstract only
Chapter 11 - Towards achieving the UNs data revolution: combining earth observation and socioeconomic data for geographic targeting of resources for the sustainable development goals
Gary R. Watmough and Charlotte L.J. Marcinko
Pages 229-254 - Book chapterAbstract only
Chapter 12 - An indicator-based approach to sustainable management of natural resources
Esther S. Parish, Virginia H. Dale, ... Fei Xie
Pages 255-280 - Book chapterNo access
Part 5 - Conclusion
Pages 281-282 - Book chapterAbstract only
Chapter 13 - Research and development for increased application of data science in sustainability analysis
Jennifer B. Dunn and Prasanna Balaprakash
Pages 283-292 - Book chapterNo access
Index
Pages 293-298
About the book
Description
Data Science Applied to Sustainability Analysis focuses on the methodological considerations associated with applying this tool in analysis techniques such as lifecycle assessment and materials flow analysis. As sustainability analysts need examples of applications of big data techniques that are defensible and practical in sustainability analyses and that yield actionable results that can inform policy development, corporate supply chain management strategy, or non-governmental organization positions, this book helps answer underlying questions. In addition, it addresses the need of data science experts looking for routes to apply their skills and knowledge to domain areas.
Data Science Applied to Sustainability Analysis focuses on the methodological considerations associated with applying this tool in analysis techniques such as lifecycle assessment and materials flow analysis. As sustainability analysts need examples of applications of big data techniques that are defensible and practical in sustainability analyses and that yield actionable results that can inform policy development, corporate supply chain management strategy, or non-governmental organization positions, this book helps answer underlying questions. In addition, it addresses the need of data science experts looking for routes to apply their skills and knowledge to domain areas.
Key Features
- Presents data sources that are available for application in sustainability analyses, such as market information, environmental monitoring data, social media data and satellite imagery
- Includes considerations sustainability analysts must evaluate when applying big data
- Features case studies illustrating the application of data science in sustainability analyses
- Presents data sources that are available for application in sustainability analyses, such as market information, environmental monitoring data, social media data and satellite imagery
- Includes considerations sustainability analysts must evaluate when applying big data
- Features case studies illustrating the application of data science in sustainability analyses
Details
ISBN
978-0-12-817976-5
Language
English
Published
2021
Copyright
Copyright © 2021 Elsevier Inc. All rights reserved.
Imprint
Elsevier