Data Science Applied to Sustainability Analysis Books

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Data Science Applied to Sustainability Analysis


Data Science Applied to Sustainability Analysis
  • Author : Jennifer Dunn
  • Publisher : Elsevier
  • Release : 2021-05-01
  • ISBN : 9780128179772
  • Language : En, Es, Fr & De
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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. 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

Computational Intelligent Data Analysis for Sustainable Development


Computational Intelligent Data Analysis for Sustainable Development
  • Author : Ting Yu
  • Publisher : CRC Press
  • Release : 2016-04-19
  • ISBN : 9781439895955
  • Language : En, Es, Fr & De
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Going beyond performing simple analyses, researchers involved in the highly dynamic field of computational intelligent data analysis design algorithms that solve increasingly complex data problems in changing environments, including economic, environmental, and social data. Computational Intelligent Data Analysis for Sustainable Development present

Big Data Analytics for Sustainable Computing


Big Data Analytics for Sustainable Computing
  • Author : Haldorai, Anandakumar
  • Publisher : IGI Global
  • Release : 2019-09-20
  • ISBN : 9781522597520
  • Language : En, Es, Fr & De
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Big data consists of data sets that are too large and complex for traditional data processing and data management applications. Therefore, to obtain the valuable information within the data, one must use a variety of innovative analytical methods, such as web analytics, machine learning, and network analytics. As the study of big data becomes more popular, there is an urgent demand for studies on high-level computational intelligence and computing services for analyzing this significant area of information science. Big Data Analytics for Sustainable Computing is a collection of innovative research that focuses on new computing and system development issues in emerging sustainable applications. Featuring coverage on a wide range of topics such as data filtering, knowledge engineering, and cognitive analytics, this publication is ideally designed for data scientists, IT specialists, computer science practitioners, computer engineers, academicians, professionals, and students seeking current research on emerging analytical techniques and data processing software.

Mobility Patterns Big Data and Transport Analytics


Mobility Patterns  Big Data and Transport Analytics
  • Author : Constantinos Antoniou
  • Publisher : Elsevier
  • Release : 2018-11-27
  • ISBN : 9780128129715
  • Language : En, Es, Fr & De
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Mobility Patterns, Big Data and Transport Analytics provides a guide to the new analytical framework and its relation to big data, focusing on capturing, predicting, visualizing and controlling mobility patterns - a key aspect of transportation modeling. The book features prominent international experts who provide overviews on new analytical frameworks, applications and concepts in mobility analysis and transportation systems. Users will find a detailed, mobility ‘structural’ analysis and a look at the extensive behavioral characteristics of transport, observability requirements and limitations for realistic transportation applications and transportation systems analysis that are related to complex processes and phenomena. This book bridges the gap between big data, data science, and transportation systems analysis with a study of big data’s impact on mobility and an introduction to the tools necessary to apply new techniques. The book covers in detail, mobility ‘structural’ analysis (and its dynamics), the extensive behavioral characteristics of transport, observability requirements and limitations for realistic transportation applications, and transportation systems analysis related to complex processes and phenomena. The book bridges the gap between big data, data science, and Transportation Systems Analysis with a study of big data’s impact on mobility, and an introduction to the tools necessary to apply new techniques. Guides readers through the paradigm-shifting opportunities and challenges of handling Big Data in transportation modeling and analytics Covers current analytical innovations focused on capturing, predicting, visualizing, and controlling mobility patterns, while discussing future trends Delivers an introduction to transportation-related information advances, providing a benchmark reference by world-leading experts in the field Captures and manages mobility patterns, covering multiple purposes and alternative transport modes, in a multi-disciplinary approach Companion website features videos showing the analyses performed, as well as test codes and data-sets, allowing readers to recreate the presented analyses and apply the highlighted techniques to their own data

Sustainability Analysis


Sustainability Analysis
  • Author : Stanislav Shmelev
  • Publisher : Palgrave Macmillan
  • Release : 2012-01-27
  • ISBN : 9780230355248
  • Language : En, Es, Fr & De
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Since the United Nations Conference on Environment and Development in Rio de Janeiro in 1992, the issues of sustainability at the international, national and regional level have become a top priority for national governments, business leaders and NGOs. Sustainability Analysis: An Interdisciplinary Approach is the result of collective reflection by an international group of academics from Canada, France, Norway, Russia, Sweden, Switzerland, and the UK. It was inspired by the interdisciplinary discussions started in St Petersburg, Russia at the conference Globalisation, New Economy, and the Environment: Business and Society Challenges for Sustainable Development, organized by the editors of this volume under the auspices of the International Society for Ecological Economics in 2005. This book explores the major actors, paradigms and ideologies in sustainable development, employing novel approaches such as linguistic and discourse analysis as well as simulation games and the psychology of ecological consciousness to provide an important contribution to the environmental policy field.