data science applied to sustainability analysis

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Data Science Applied to Sustainability Analysis
Author : Jennifer Dunn,Prasanna Balaprakash
Publisher : Elsevier
Release Date : 2020-11-01
ISBN 10 : 0128179775
Pages : 300 pages

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
Author : Ting Yu,Nitesh Chawla,Simeon Simoff
Publisher : CRC Press
Release Date : 2016-04-19
ISBN 10 : 1439895953
Pages : 440 pages

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

Sustainability Analysis
Author : S. Shmelev,I. Shmeleva
Publisher : Springer
Release Date : 2012-01-27
ISBN 10 : 0230362435
Pages : 335 pages

Sustainability Analysis provides a detailed exploration of current environmental thinking from a variety of perspectives, including institutional and psychological angles. Primarily focusing on macroeconomic policies and green national accounting, this book provides a strong basis for further study in sustainable development.

Big Data Analytics for Sustainable Computing
Author : Haldorai, Anandakumar,Ramu, Arulmurugan
Publisher : IGI Global
Release Date : 2019-09-20
ISBN 10 : 1522597522
Pages : 263 pages

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.

Environmental Social Science
Author : Emilio F. Moran
Publisher : John Wiley & Sons
Release Date : 2011-09-09
ISBN 10 : 1444358278
Pages : 232 pages

Environmental Social Science offers a new synthesis of environmental studies, defining the nature of human-environment interactions and providing the foundation for a new cross-disciplinary enterprise that will make critical theories and research methods accessible across the natural and social sciences. Makes key theories and methods of the social sciences available to biologists and other environmental scientists Explains biological theories and concepts for the social sciences community working on the environment Helps bridge one of the difficult divides in collaborative work in human-environment research Includes much-needed descriptions of how to carry out research that is multinational, multiscale, multitemporal, and multidisciplinary within a complex systems theory context

Big Data Science and Analytics for Smart Sustainable Urbanism
Author : Simon Elias Bibri
Publisher : Springer
Release Date : 2020-07-03
ISBN 10 : 9783030173142
Pages : 337 pages

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 are using to generate valuable knowledge for enhanced decision-making, and deep insights pertaining to a wide variety of practical uses and applications. This book addresses the complex interplay of the scientific, technological, and social dimensions of the city, and what it entails in terms of the systemic implications for smart sustainable urbanism. In concrete terms, it explores the interdisciplinary and transdisciplinary field of smart sustainable urbanism and the unprecedented paradigmatic shifts and practical advances it is undergoing in light of big data science and analytics. This new era of science and technology embodies an unprecedentedly transformative and constitutive power—manifested not only in the form of revolutionizing science and transforming knowledge, but also in advancing social practices, producing new discourses, catalyzing major shifts, and fostering societal transitions. Of particular relevance, it is instigating a massive change in the way both smart cities and sustainable cities are studied and understood, and in how they are planned, designed, operated, managed, and governed in the face of urbanization. This relates to what has been dubbed data-driven smart sustainable urbanism, an emerging approach based on a computational understanding of city systems and processes that reduces urban life to logical and algorithmic rules and procedures, while also harnessing urban big data to provide a more holistic and integrated view or synoptic intelligence of the city. This is increasingly being directed towards improving, advancing, and maintaining the contribution of both sustainable cities and smart cities to the goals of sustainable development. This timely and multifaceted book is aimed at a broad readership. As such, it will appeal to urban scientists, data scientists, urbanists, planners, engineers, designers, policymakers, philosophers of science, and futurists, as well as all readers interested in an overview of the pivotal role of big data science and analytics in advancing every academic discipline and social practice concerned with data–intensive science and its application, particularly in relation to sustainability.

Knowledge for Sustainable Development
Author : Unesco
Publisher : Oxford : EOLSS Publishers/UNESCO
Release Date : 2002
ISBN 10 :
Pages : 1226 pages

This three volume set presents a multidisciplinary examination of the global life support systems on which we depend by providing a selection of articles on sustainable development issues written by international experts. Volume 1 focuses on the earth and atmospheric sciences, mathematical, biological and medical sciences, social sciences and humanities, physical sciences, engineering and technology resources. Volume 2 covers chemical sciences, energy science and water engineering, as well as the main issues related to environmental sciences and ecological resources. Volume 3 offers a comprehensive view of food and agricultural engineering resources, the management of human and natural resources, economic and institutional resources, information technology and systems management, as well as a regional overview of sustainable development issues. Each article includes a bibliography, a glossary and a guide to further information available as part of the on-line Encyclopedia version (

Applied Research in Environmental Economics
Author : Christoph Böhringer,Andreas Lange
Publisher : Springer Science & Business Media
Release Date : 2006-03-30
ISBN 10 : 3790816450
Pages : 314 pages

Sustainable development, climate policy, biodiversity conservation – all these represent flash points at the intersection of environmental science, economics, and public policy. This volume offers a snapshot of environmental economic research on a range of policy-relevant problems. Academic contributions are complemented by the views of policy makers on environmental policy priorities, the usefulness of academic research for decision making, and the future of applied research.

Sustainable Development: Science, Ethics, and Public Policy
Author : J. Lemons,Donald A. Brown
Publisher : Springer Science & Business Media
Release Date : 2013-06-29
ISBN 10 : 9401584923
Pages : 284 pages

Of all the books written about the problems of sustainable development and environmental protection, Sustainable Development: Science, Ethics, and Public Policy is one of the first to examine the role of science, economics and law, and ethics as generally applied to decision making on sustainable development, particularly in respect to the recommendations contained in Agenda 21. Specifically, the book examines the role, capabilities, and certain strengths and weaknesses of these disciplines and their ethical implications in the context of sustainable development problems. Such an analysis is necessary to determine whether sustainable development problems create important new challenges and problems for government so that, where appropriate, new tools or approaches may be designed to overcome limitations or take advantage of the strengths of current scientific, economic and legal capabilities. Audience: Environmental professionals, whether academic, governmental or industrial, or in the private consultancy sector. Also suitable as an upper level text or reference.

Handbook of Sustainable Development Planning
Author : M. A. Quaddus,Muhammed Abu B. Siddique
Publisher : Edward Elgar Pub
Release Date : 2004
ISBN 10 :
Pages : 347 pages

This authoritative Handbook comprehensively examines the current status and future directions of model-based systems in decision support and their application to sustainable development planning. It begins with a comprehensive review of model-based applications in sustainable development planning, paying particular attention to environmental disaster, ecosystem management, energy, infrastructure development, and agricultural systems, amongst other contemporary issues. Conceptual and policy oriented papers then debate the future directions of model-based sustainable development planning.Taking account of the fact that sustainable development planning is multidimensional by nature, the contributors concede that a single exemplary model does not exist. The aims of the stakeholders, along with preferences and priorities surrounding the planned objectives determine the ways and means of sustainable development planning. A number of tools - from simple intuition based approaches to sophisticated mathematical modelling - are therefore utilized within the Handbook. An important feature of the work is the emphasis on Decision Support Systems (DSS) and Group Decision Support Systems (GDSS) approaches - it is argued that these are natural and appropriate for sustainable development planning.Given the rise in prominence of sustainable development planning in recent years, this Handbook will be invaluable to a wide-ranging audience including NGOs, planners, consultants, policymakers, and academics.

Mechanical & Manufacturing Engineering
Author : Al Emran Ismail,Ahmad Jais Alimin,Abdul Latif M. Tobi,Amir Khalid,Hasan Zuhudi Abdullah,Ibrahim Masood,Mohd Halim Irwan Ibrahim,Mohd Khir Mohd Nor,Mohd Sallehuddin Yusof,Saifulnizan Jamian,Salihatun Md Salleh,Waluyo Adi Siswanto,Wan Nur Azrina Wan Muhammad
Publisher : Trans Tech Publications Ltd
Release Date : 2013-04-10
ISBN 10 : 3038260169
Pages : 1050 pages

Selected, peer reviewed papers from the 3rd International Conference on Mechanical & Manufacturing Engineering 2012, November 20 – 21, 2012, Malaysia. The conference offers a platform for researchers, academicians, technologist, policy makers, industrialists and students to share, discuss and highlight their research findings particularly works that related to research and technological developments and knowledge transfers keeping in mind the main theme Sustainable Engineering towards Green Technology

Intelligent IoT Systems in Personalized Health Care
Author : Arun Kumar Sangaiah,Subhas Chandra Mukhopadhyay
Publisher : Academic Press
Release Date : 2020-12-01
ISBN 10 : 0128232048
Pages : 360 pages

Intelligent IoT Systems in Personalized Health Care delivers a significant forum for the technical advancement of IoMT learning in parallel computing environments across biomedical engineering diversified domains and its applications. Pursuing an interdisciplinary approach, the book focuses on methods used to identify and acquire valid, potentially useful knowledge sources. The book presents novel, in-depth, fundamental research contributions from a methodological/application perspective to help readers understand the fusion of AI with IoT and its capabilities in solving a diverse range of problems for biomedical engineering and its real-world personalized health care applications. The book is well suited for researchers exploring the significance of IoT based architecture to perform predictive analytics of user activities in sustainable health. Presents novel, in-depth, fundamental research contributions from a methodological/application perspective to help readers understand the fusion of AI with IoT Illustrates state-of-the-art developments in new theories and applications of IoMT techniques as applied to parallel computing environments in biomedical engineering systems Presents concepts and technologies successfully used in the implementation of today's intelligent data-centric IoT systems and Edge-Cloud-Big data

Statistical Methods for Trend Detection and Analysis in the Environmental Sciences
Author : Richard Chandler,Marian Scott
Publisher : John Wiley & Sons
Release Date : 2011-03-25
ISBN 10 : 111999196X
Pages : 388 pages

The need to understand and quantify change is fundamental throughout the environmental sciences. This might involve describing past variation, understanding the mechanisms underlying observed changes, making projections of possible future change, or monitoring the effect of intervening in some environmental system. This book provides an overview of modern statistical techniques that may be relevant in problems of this nature. Practitioners studying environmental change will be familiar with many classical statistical procedures for the detection and estimation of trends. However, the ever increasing capacity to collect and process vast amounts of environmental information has led to growing awareness that such procedures are limited in the insights that they can deliver. At the same time, significant developments in statistical methodology have often been widely dispersed in the statistical literature and have therefore received limited exposure in the environmental science community. This book aims to provide a thorough but accessible review of these developments. It is split into two parts: the first provides an introduction to this area and the second part presents a collection of case studies illustrating the practical application of modern statistical approaches to the analysis of trends in real studies. Key Features: Presents a thorough introduction to the practical application and methodology of trend analysis in environmental science. Explores non-parametric estimation and testing as well as parametric techniques. Methods are illustrated using case studies from a variety of environmental application areas. Looks at trends in all aspects of a process including mean, percentiles and extremes. Supported by an accompanying website featuring datasets and R code. The book is designed to be accessible to readers with some basic statistical training, but also contains sufficient detail to serve as a reference for practising statisticians. It will therefore be of use to postgraduate students and researchers both in the environmental sciences and in statistics.

Perspectives on Data Science for Software Engineering
Author : Tim Menzies,Laurie Williams,Thomas Zimmermann
Publisher : Morgan Kaufmann
Release Date : 2016-07-14
ISBN 10 : 0128042613
Pages : 408 pages

Perspectives on Data Science for Software Engineering presents the best practices of seasoned data miners in software engineering. The idea for this book was created during the 2014 conference at Dagstuhl, an invitation-only gathering of leading computer scientists who meet to identify and discuss cutting-edge informatics topics. At the 2014 conference, the concept of how to transfer the knowledge of experts from seasoned software engineers and data scientists to newcomers in the field highlighted many discussions. While there are many books covering data mining and software engineering basics, they present only the fundamentals and lack the perspective that comes from real-world experience. This book offers unique insights into the wisdom of the community’s leaders gathered to share hard-won lessons from the trenches. Ideas are presented in digestible chapters designed to be applicable across many domains. Topics included cover data collection, data sharing, data mining, and how to utilize these techniques in successful software projects. Newcomers to software engineering data science will learn the tips and tricks of the trade, while more experienced data scientists will benefit from war stories that show what traps to avoid. Presents the wisdom of community experts, derived from a summit on software analytics Provides contributed chapters that share discrete ideas and technique from the trenches Covers top areas of concern, including mining security and social data, data visualization, and cloud-based data Presented in clear chapters designed to be applicable across many domains

Quantitative Eco-nomics
Author : Peter Bartelmus
Publisher : Springer Science & Business Media
Release Date : 2008-04-19
ISBN 10 : 9781402069666
Pages : 329 pages

This thought-provoking and colorful book cuts through the fog of vision and advocacy by comparing and applying new quantitative tools of both environmental and ecological economics. Environmental accounts and empirical analyses provide operational concepts and measures of the sustainability of economic performance and growth. The text raises doubts, however, about the measurability of sustainable development. Further reading sections are provided at the end of each chapter.

Managing Data Science
Author : Kirill Dubovikov
Publisher : Packt Publishing Ltd
Release Date : 2019-11-12
ISBN 10 : 1838824561
Pages : 290 pages

Understand data science concepts and methodologies to manage and deliver top-notch solutions for your organization Key Features Learn the basics of data science and explore its possibilities and limitations Manage data science projects and assemble teams effectively even in the most challenging situations Understand management principles and approaches for data science projects to streamline the innovation process Book Description Data science and machine learning can transform any organization and unlock new opportunities. However, employing the right management strategies is crucial to guide the solution from prototype to production. Traditional approaches often fail as they don't entirely meet the conditions and requirements necessary for current data science projects. In this book, you'll explore the right approach to data science project management, along with useful tips and best practices to guide you along the way. After understanding the practical applications of data science and artificial intelligence, you'll see how to incorporate them into your solutions. Next, you will go through the data science project life cycle, explore the common pitfalls encountered at each step, and learn how to avoid them. Any data science project requires a skilled team, and this book will offer the right advice for hiring and growing a data science team for your organization. Later, you'll be shown how to efficiently manage and improve your data science projects through the use of DevOps and ModelOps. By the end of this book, you will be well versed with various data science solutions and have gained practical insights into tackling the different challenges that you'll encounter on a daily basis. What you will learn Understand the underlying problems of building a strong data science pipeline Explore the different tools for building and deploying data science solutions Hire, grow, and sustain a data science team Manage data science projects through all stages, from prototype to production Learn how to use ModelOps to improve your data science pipelines Get up to speed with the model testing techniques used in both development and production stages Who this book is for This book is for data scientists, analysts, and program managers who want to use data science for business productivity by incorporating data science workflows efficiently. Some understanding of basic data science concepts will be useful to get the most out of this book.

Essential Environmental Science
Author : Edward A. Keller,Daniel B. Botkin
Publisher : John Wiley & Sons Incorporated
Release Date : 2008
ISBN 10 :
Pages : 454 pages

Essential Environmental Science provides a non-quantitative approach that is based on principles, critical thinking and the big questions that are driving the field today. It offers a condensed look at the field, covering topics in way that will help readers answer the "big questions." It eliminates more detailed or advanced topics to make the material more accessible while also placing the focus on today's important issues.

Environmental Information Management And Analysis
Author : W K Michener,J W Brunt,S G Stafford
Publisher : CRC Press
Release Date : 1994-08-08
ISBN 10 : 9780748401239
Pages : 516 pages

Most environmental studies are based upon data collected at fine spatial scales plots, sediments, cores, etc.. Furthermore, temporal scales of these studies have been relatively short days, weeks, months and few studies have exceeded three years duration the typical funding cycle.; Despite this history, environmental scientists are now being called upon to extrapolate findings from "plot-level" studies to broader spatial scales and from short-term studies to longer temporal scales, up to decades for questions related to long-term processes such as global warming and the rise in sea level.; The complex questions being addressed internationally require that scientists take advantage of new technologies including remote sensing, geographic information systems GIS, and powerful climatic and environmental simulation models. As more environmental scientists begin to work at these broader spatial and temporal scales, and to utilize many of the newer technologies, they are recognising a whole new class of problems.; This book aims to address the most pertinent issues, and includes a comprehensive review of selected topics, case studies, and theoretical discussions, divided into seven sections each preceded by a brief introduction.

Cost-Benefit Analysis of Environmental Goods by Applying Contingent Valuation Method
Author : Uddin Sarwar Ahmed,Keinosuke Gotoh
Publisher : Springer Science & Business Media
Release Date : 2007-12-14
ISBN 10 : 9784431289500
Pages : 159 pages

Contingent valuation is one of the means of incorporating socio-environmental considerations in cost–benefit analysis. The authors of this book have examined environmental valuation methods through the lens of cost–benefit analysis focused on three case studies in Japan: public parks, a bay wetland, and a recreational theme park. With implications for the world at large, the findings presented here serve as a valuable source of information on Japanese behavior regarding the valuation of environmental goods. New, alternative approaches and guidelines for cost–benefit analysis in the public and private spheres also are discussed. This volume makes an important addition to the library of all researchers and other scientists in the fields of environmental science and environmental economics.

Data Analytics: Paving the Way to Sustainable Urban Mobility
Author : Eftihia G. Nathanail,Ioannis D. Karakikes
Publisher : Springer
Release Date : 2018-12-11
ISBN 10 : 3030023052
Pages : 868 pages

This book aims at showing how big data sources and data analytics can play an important role in sustainable mobility. It is especially intended to provide academicians, researchers, practitioners and decision makers with a snapshot of methods that can be effectively used to improve urban mobility. The different chapters, which report on contributions presented at the 4th Conference on Sustainable Urban Mobility, held on May 24-25, 2018, in Skiathos Island, Greece, cover different thematic areas, such as social networks and traveler behavior, applications of big data technologies in transportation and analytics, transport infrastructure and traffic management, transportation modeling, vehicle emissions and environmental impacts, public transport and demand responsive systems, intermodal interchanges, smart city logistics systems, data security and associated legal aspects. They show in particular how to apply big data in improving urban mobility, discuss important challenges in developing and implementing analytics methods and provide the reader with an up-to-date review of the most representative research on data management techniques for enabling sustainable urban mobility