Cover for Data Science Applied to Sustainability Analysis

Data Science Applied to Sustainability Analysis

Book2021

Edited by:

Jennifer Dunn and Prasanna Balaprakash

Data Science Applied to Sustainability Analysis

Book2021

 

Cover for Data Science Applied to Sustainability Analysis

Edited by:

Jennifer Dunn and Prasanna Balaprakash

About the book

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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 ... read full description

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  1. Full text access
  2. Book chapterAbstract only

    Chapter 1 - Overview of data science and sustainability analysis

    Prasanna Balaprakash and Jennifer B. Dunn

    Pages 1-14

  3. Book chapterNo access

    Part 1 - Environmental Health and Sustainability

    Pages 15-16

  4. Book chapterAbstract only

    Chapter 2 - Applying AI to conservation challenges

    Niraj Swami

    Pages 17-28

  5. 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

  6. Book chapterAbstract only

    Chapter 4 - Machine learning in the Australian critical zone

    Elisabeth N. Bui

    Pages 43-78

  7. Book chapterNo access

    PART 2 - Energy and Water

    Pages 79-80

  8. 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

  9. 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

  10. Book chapterAbstract only

    Chapter 7 - Data-driven materials discovery for solar photovoltaics

    Leon R. Devereux and Jacqueline M. Cole

    Pages 129-164

  11. Book chapterNo access

    PART 3 - Sustainable Systems Analysis

    Pages 165-166

  12. Book chapterAbstract only

    Chapter 8 - Machine learning in life cycle assessment

    Mikaela Algren, Wendy Fisher and Amy E. Landis

    Pages 167-190

  13. Book chapterAbstract only

    Chapter 9 - Industry sustainable supply chain management with data science

    Deboleena Chakraborty and Richard K. Helling

    Pages 191-202

  14. Book chapterNo access

    PART 4 - Society and Policy

    Pages 203-204

  15. 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

  16. 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

  17. 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

  18. Book chapterNo access

    Part 5 - Conclusion

    Pages 281-282

  19. 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

  20. 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

Editors

Jennifer Dunn

Prasanna Balaprakash