Data Science Applied to Sustainability Analysis

Data Science Applied to Sustainability Analysis focuses on the methodological considerations associated with applying this tool in analysis techniques such as life cycle assessment and materials flow analysis. It is a critical resource to practitioners seeking to take the field of sustainability analysis to the next level. Sustainability analysts need examples of applications of big data techniques that are defensible and practical in sustainability analyses and yield actionable results that can inform policy development, corporate supply chain management strategy, or non-governmental organization positions. Data Science Applied to Sustainability Analysis addresses the need of data science experts looking for routes to apply their skills and knowledge to domain areas. Moreover, policy makers and funding agencies will benefit from evaluations of needs for further research and development in this area. Presents data sources that are available for application in sustainability analyses such as market information, environmental monitoring data, social media data, and satellite imageryIncludes considerations sustainability analysts must evaluate when applying big data to sustainability analysesFeatures case studies illustrating the application of data science in sustainability analyses INDICE: 1. Overview of Data Science and Sustainability Analysis and State of their Co-Application 2. Government Data Sources for Big Data in Sustainability Analysis 3. Social Media Data Application in Sustainability Analysis 4. Environmental sensor networks as a data source for Sustainability analysis 5. Data Science in the Analysis of Sustainable Agriculture 6. Fusion of Satellite Imagery interpretation and LiDAR data in sustainable forestry management 7. Application of Data Science in Sustainable Supply Chain Management 8. Data Science Applied to Sustainable Building Management 9. Urban water systems management with Data Science 10. Avenues towards Data Science in Life Cycle Analysis 11. Data Science Application in Material Flow Analysis 12. Application of Data Science in Input-Output Frameworks 11. Research and Development for Increased Application of Data Science in Sustainability analysis

• ISBN: 978-0-12-817976-5
• Editorial: Elsevier
• Encuadernacion: Rústica
• Páginas: 300
• Fecha Publicación: 01/08/2020
• Nº Volúmenes: 1
• Idioma: Inglés