Data Science Applied to Sustainability Analysis

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  • Author : Jennifer Dunn
  • Publisher : Elsevier
  • Pages : 310 pages
  • ISBN : 0128179775
  • Rating : /5 from reviews
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Download or Read online Data Science Applied to Sustainability Analysis full in PDF, ePub and kindle. this book written by Jennifer Dunn and published by Elsevier which was released on 11 May 2021 with total page 310 pages. We cannot guarantee that Data Science Applied to Sustainability Analysis book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. 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

Data Science Applied to Sustainability Analysis

Data Science Applied to Sustainability Analysis
  • Author : Jennifer Dunn,Prasanna Balaprakash
  • Publisher : Elsevier
  • Release : 11 May 2021
GET THIS BOOK 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 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

Big Data Science and Analytics for Smart Sustainable Urbanism

Big Data Science and Analytics for Smart Sustainable Urbanism
  • Author : Simon Elias Bibri
  • Publisher : Springer
  • Release : 30 May 2019
GET THIS BOOK Big Data Science and Analytics for Smart Sustainable Urbanism

We are living at the dawn of what has been termed ‘the fourth paradigm of science,’ a scientific revolution that is marked by both the emergence of big data science and analytics, and by the increasing adoption of the underlying technologies in scientific and scholarly research practices. Everything about science development or knowledge production is fundamentally changing thanks to the ever-increasing deluge of data. This is the primary fuel of the new age, which powerful computational processes or analytics algorithms

Research Handbook on Big Data Law

Research Handbook on Big Data Law
  • Author : Roland Vogl
  • Publisher : Edward Elgar Publishing
  • Release : 28 May 2021
GET THIS BOOK Research Handbook on Big Data Law

This state-of-the-art Research Handbook provides an overview of research into, and the scope of current thinking in, the field of big data analytics and the law. It contains a wealth of information to survey the issues surrounding big data analytics in legal settings, as well as legal issues concerning the application of big data techniques in different domains.

Artificial Intelligence and Data Science in Environmental Sensing

Artificial Intelligence and Data Science in Environmental Sensing
  • Author : Mohsen Asadnia,Amir Razmjou,Amin Beheshti
  • Publisher : Academic Press
  • Release : 01 February 2022
GET THIS BOOK Artificial Intelligence and Data Science in Environmental Sensing

Artificial Intelligence and Data Science in Environmental Sensing provides state-of-the-art information on the inexpensive mass-produced sensors that are used as inputs to artificial intelligence systems. The book discusses the advances of AI and Machine Learning technologies in material design for environmental areas. It is an excellent resource for researchers and professionals who work in the field of data processing, artificial intelligence sensors and environmental applications. Presents tools, connections and proactive solutions to take sustainability programs to the next level Offers

Computational Intelligent Data Analysis for Sustainable Development

Computational Intelligent Data Analysis for Sustainable Development
  • Author : Ting Yu,Nitesh Chawla,Simeon Simoff
  • Publisher : CRC Press
  • Release : 19 April 2016
GET THIS BOOK Computational Intelligent Data Analysis for Sustainable Development

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

Strategic Engineering for Cloud Computing and Big Data Analytics

Strategic Engineering for Cloud Computing and Big Data Analytics
  • Author : Amin Hosseinian-Far,Muthu Ramachandran,Dilshad Sarwar
  • Publisher : Springer
  • Release : 13 February 2017
GET THIS BOOK Strategic Engineering for Cloud Computing and Big Data Analytics

This book demonstrates the use of a wide range of strategic engineering concepts, theories and applied case studies to improve the safety, security and sustainability of complex and large-scale engineering and computer systems. It first details the concepts of system design, life cycle, impact assessment and security to show how these ideas can be brought to bear on the modeling, analysis and design of information systems with a focused view on cloud-computing systems and big data analytics. This informative book

Advanced Information Networking and Applications

Advanced Information Networking and Applications
  • Author : Leonard Barolli,Isaac Woungang,Tomoya Enokido
  • Publisher : Springer Nature
  • Release : 03 December 2021
GET THIS BOOK Advanced Information Networking and Applications

This book covers the theory, design and applications of computer networks, distributed computing and information systems. Networks of today are going through a rapid evolution, and there are many emerging areas of information networking and their applications. Heterogeneous networking supported by recent technological advances in low-power wireless communications along with silicon integration of various functionalities such as sensing, communications, intelligence and actuations is emerging as a critically important disruptive computer class based on a new platform, networking structure and interface

Recent Developments in Data Science and Intelligent Analysis of Information

Recent Developments in Data Science and Intelligent Analysis of Information
  • Author : Oleg Chertov,Tymofiy Mylovanov,Yuriy Kondratenko,Janusz Kacprzyk,Vladik Kreinovich,Vadim Stefanuk
  • Publisher : Springer
  • Release : 04 August 2018
GET THIS BOOK Recent Developments in Data Science and Intelligent Analysis of Information

This book constitutes the proceedings of the XVIII International Conference on Data Science and Intelligent Analysis of Information (ICDSIAI'2018), held in Kiev, Ukraine on June 4-7, 2018. The conference series, which dates back to 2001 when it was known as the Workshop on Intelligent Analysis of Information, was renamed in 2008 to reflect the broadening of its scope and the composition of its organizers and participants. ICDSIAI'2018 brought together a large number of participants from numerous countries in Europe, Asia and the USA.

Sustainable Development and Social Responsibility Volume 1

Sustainable Development and Social Responsibility   Volume 1
  • Author : Miroslav Mateev,Jennifer Nightingale
  • Publisher : Springer Nature
  • Release : 13 February 2020
GET THIS BOOK Sustainable Development and Social Responsibility Volume 1

The book presents high-quality research papers presented at the 2nd American University in the Emirates International research conference, AUEIRC'18, organized by the American University in the Emirates, Dubai, held on November 13th-15th, 2018. The book is broadly divided into four sections: Sustainability and Smart Technology, Sustainability and Social Responsibility, Sustainability, Human Security and Legislation, Sustainability and Education. The topics covered under these sections are sustainable smart technology such as developing green curriculum for information technology, use ultrasonic velocity to predict

Smart Sustainable Cities of the Future

Smart Sustainable Cities of the Future
  • Author : Simon Elias Bibri
  • Publisher : Springer
  • Release : 24 February 2018
GET THIS BOOK Smart Sustainable Cities of the Future

This book is intended to help explore the field of smart sustainable cities in its complexity, heterogeneity, and breadth, the many faces of a topical subject of major importance for the future that encompasses so much of modern urban life in an increasingly computerized and urbanized world. Indeed, sustainable urban development is currently at the center of debate in light of several ICT visions becoming achievable and deployable computing paradigms, and shaping the way cities will evolve in the future

Open Data and Energy Analytics

Open Data and Energy Analytics
  • Author : Benedetto Nastasi,Massimiliano Manfren,Michel Noussan
  • Publisher : MDPI
  • Release : 25 June 2020
GET THIS BOOK Open Data and Energy Analytics

Open data and policy implications coming from data-aware planning entail collection and pre- and postprocessing as operations of primary interest. Before these steps, making data available to people and their decision-makers is a crucial point. Referring to the relationship between data and energy, public administrations, governments, and research bodies are promoting the construction of reliable and robust datasets to pursue policies coherent with the Sustainable Development Goals, as well as to allow citizens to make informed choices. Energy engineers and

Data Analysis and Statistics for Geography Environmental Science and Engineering

Data Analysis and Statistics for Geography  Environmental Science  and Engineering
  • Author : Miguel F. Acevedo
  • Publisher : CRC Press
  • Release : 07 December 2012
GET THIS BOOK Data Analysis and Statistics for Geography Environmental Science and Engineering

Providing a solid foundation for twenty-first-century scientists and engineers, Data Analysis and Statistics for Geography, Environmental Science, and Engineering guides readers in learning quantitative methodology, including how to implement data analysis methods using open-source software. Given the importance of interdisciplinary work in sustainability, the book brings together principles of statistics and probability, multivariate analysis, and spatial analysis methods applicable across a variety of science and engineering disciplines. Learn How to Use a Variety of Data Analysis and Statistics Methods Based

Data Science and Social Research

Data Science and Social Research
  • Author : N. Carlo Lauro,Enrica Amaturo,Maria Gabriella Grassia,Biagio Aragona,Marina Marino
  • Publisher : Springer
  • Release : 17 November 2017
GET THIS BOOK Data Science and Social Research

This edited volume lays the groundwork for Social Data Science, addressing epistemological issues, methods, technologies, software and applications of data science in the social sciences. It presents data science techniques for the collection, analysis and use of both online and offline new (big) data in social research and related applications. Among others, the individual contributions cover topics like social media, learning analytics, clustering, statistical literacy, recurrence analysis and network analysis. Data science is a multidisciplinary approach based mainly on the