Data Science Applied to Sustainability Analysis

Data Science Applied to Sustainability Analysis
Author: Jennifer Dunn,Prasanna Balaprakash
Publsiher: Elsevier
Total Pages: 300
Release: 2020-11-01
ISBN 10: 0128179775
ISBN 13: 9780128179772
Language: EN, FR, DE, ES & NL

Data Science Applied to Sustainability Analysis Book Review:

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,Nitesh Chawla,Simeon Simoff
Publsiher: CRC Press
Total Pages: 440
Release: 2016-04-19
ISBN 10: 1439895953
ISBN 13: 9781439895955
Language: EN, FR, DE, ES & NL

Computational Intelligent Data Analysis for Sustainable Development Book Review:

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 Science and Analytics for Smart Sustainable Urbanism

Big Data Science and Analytics for Smart Sustainable Urbanism
Author: Simon Elias Bibri
Publsiher: Springer
Total Pages: 337
Release: 2020-07-03
ISBN 10: 9783030173142
ISBN 13: 3030173143
Language: EN, FR, DE, ES & NL

Big Data Science and Analytics for Smart Sustainable Urbanism Book Review:

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.

Big Data Analytics for Sustainable Computing

Big Data Analytics for Sustainable Computing
Author: Haldorai, Anandakumar,Ramu, Arulmurugan
Publsiher: IGI Global
Total Pages: 263
Release: 2019-09-20
ISBN 10: 1522597522
ISBN 13: 9781522597520
Language: EN, FR, DE, ES & NL

Big Data Analytics for Sustainable Computing Book Review:

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.

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
Publsiher: Springer
Total Pages: 384
Release: 2018-08-04
ISBN 10: 3319978853
ISBN 13: 9783319978857
Language: EN, FR, DE, ES & NL

Recent Developments in Data Science and Intelligent Analysis of Information Book Review:

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. The papers presented addressed novel theoretical developments in methods, algorithms and implementations for the broadly perceived areas of big data mining and intelligent analysis of data and information, representation and processing of uncertainty and fuzziness, including contributions on a range of applications in the fields of decision-making and decision support, economics, education, ecology, law, and various areas of technology. The book is dedicated to the memory of the conference founder, the late Professor Tetiana Taran, an outstanding scientist in the field of artificial intelligence whose research record, vision and personality have greatly contributed to the development of Ukrainian artificial intelligence and computer science.

Sustainability Analysis

Sustainability Analysis
Author: S. Shmelev,I. Shmeleva
Publsiher: Springer
Total Pages: 335
Release: 2012-01-27
ISBN 10: 0230362435
ISBN 13: 9780230362437
Language: EN, FR, DE, ES & NL

Sustainability Analysis Book Review:

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.

Environmental Data Analysis

Environmental Data Analysis
Author: Zhihua Zhang
Publsiher: Walter de Gruyter GmbH & Co KG
Total Pages: 334
Release: 2017-01-01
ISBN 10: 3110424908
ISBN 13: 9783110424904
Language: EN, FR, DE, ES & NL

Environmental Data Analysis Book Review:

Most environmental data involve a large degree of complexity and uncertainty. Environmental Data Analysis is created to provide modern quantitative tools and techniques designed specifically to meet the needs of environmental sciences and related fields. This book has an impressive coverage of the scope. Main techniques described in this book are models for linear and nonlinear environmental systems, statistical & numerical methods, data envelopment analysis, risk assessments and life cycle assessments. These state-of-the-art techniques have attracted significant attention over the past decades in environmental monitoring, modeling and decision making. Environmental Data Analysis explains carefully various data analysis procedures and techniques in a clear, concise, and straightforward language and is written in a self-contained way that is accessible to researchers and advanced students in science and engineering. This is an excellent reference for scientists and engineers who wish to analyze, interpret and model data from various sources, and is also an ideal graduate-level textbook for courses in environmental sciences and related fields. Contents: Preface Time series analysis Chaos and dynamical systems Approximation Interpolation Statistical methods Numerical methods Optimization Data envelopment analysis Risk assessments Life cycle assessments Index

Analytics

Analytics
Author: Daniel Covington
Publsiher: Lulu.com
Total Pages: 288
Release: 2019-08-13
ISBN 10: 9780359828524
ISBN 13: 0359828523
Language: EN, FR, DE, ES & NL

Analytics Book Review:

SO MANY PEOPLE DREAM OF BECOMING THEIR OWN BOSS OR SUCCEEDING IN THEIR CHOSEN PROFESSION, AND WITH THE RESOURCES AVAILABLE TODAY, MORE ENTREPRENEURS AND PROFESSIONALS ARE ACHIEVING GREAT SUCCESS! HOWEVER, SUCCESS SHOULD BE DEFINED FOR THE LONG TERM, AND AS OPPORTUNITIES START TO GROW, SO DOES THE COMPETITION. Getting your business up and running or starting on your career path is one thing, but have a sustainable business or career is completely another. Many people make the mistake of making plans but having no follow-through. This is where analytics comes in. DonÕt you wish to have the power to know what your target consumers are thinking? WonÕt you want to have a preview of what future trends to expect in the market you are in? Well, this book is just the one you need. This book will teach you, in simple and easy-to-understand terms, how to take advantage of data from your daily operations and make such data a powerful tool that can influence how well your business does over time.

Environmental Social Science

Environmental Social Science
Author: Emilio F. Moran
Publsiher: John Wiley & Sons
Total Pages: 232
Release: 2011-09-09
ISBN 10: 1444358278
ISBN 13: 9781444358278
Language: EN, FR, DE, ES & NL

Environmental Social Science Book Review:

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

Mainstreaming Sustainable Investing

Mainstreaming Sustainable Investing
Author: Michael J. Greis
Publsiher: CFA Institute Research Foundation
Total Pages: 34
Release: 2018-10-26
ISBN 10: 1944960643
ISBN 13: 9781944960643
Language: EN, FR, DE, ES & NL

Mainstreaming Sustainable Investing Book Review:

Like all investors, sustainable investors juggle various motivations: improving investment performance, achieving an economic or a societal outcome, and investing in ways consistent with their values/beliefs. The challenge for sustainable investment professionals is to understand their clients’ motivations and then shape their expectations and investment strategy accordingly. Given this range of motivations and the diversity of environmental, social, and governance systems, it should not be surprising that there are many ways to approach investing sustainably.

Managing Data Science

Managing Data Science
Author: Kirill Dubovikov
Publsiher: Packt Publishing Ltd
Total Pages: 290
Release: 2019-11-12
ISBN 10: 1838824561
ISBN 13: 9781838824563
Language: EN, FR, DE, ES & NL

Managing Data Science Book Review:

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.

Intelligent IoT Systems in Personalized Health Care

Intelligent IoT Systems in Personalized Health Care
Author: Arun Kumar Sangaiah,Subhas Chandra Mukhopadhyay
Publsiher: Academic Press
Total Pages: 360
Release: 2020-12-01
ISBN 10: 0128232048
ISBN 13: 9780128232040
Language: EN, FR, DE, ES & NL

Intelligent IoT Systems in Personalized Health Care Book Review:

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

Smart Sustainable Cities of the Future

Smart Sustainable Cities of the Future
Author: Simon Elias Bibri
Publsiher: Springer
Total Pages: 660
Release: 2018-02-24
ISBN 10: 3319739816
ISBN 13: 9783319739816
Language: EN, FR, DE, ES & NL

Smart Sustainable Cities of the Future Book Review:

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 and thus tackle complex challenges. This book integrates computer science, data science, complexity science, sustainability science, system thinking, and urban planning and design. As such, it contains innovative computer–based and data–analytic research on smart sustainable cities as complex and dynamic systems. It provides applied theoretical contributions fostering a better understanding of such systems and the synergistic relationships between the underlying physical and informational landscapes. It offers contributions pertaining to the ongoing development of computer–based and data science technologies for the processing, analysis, management, modeling, and simulation of big and context data and the associated applicability to urban systems that will advance different aspects of sustainability. This book seeks to explicitly bring together the smart city and sustainable city endeavors, and to focus on big data analytics and context-aware computing specifically. In doing so, it amalgamates the design concepts and planning principles of sustainable urban forms with the novel applications of ICT of ubiquitous computing to primarily advance sustainability. Its strength lies in combining big data and context–aware technologies and their novel applications for the sheer purpose of harnessing and leveraging the disruptive and synergetic effects of ICT on forms of city planning that are required for future forms of sustainable development. This is because the effects of such technologies reinforce one another as to their efforts for transforming urban life in a sustainable way by integrating data–centric and context–aware solutions for enhancing urban systems and facilitating coordination among urban domains. This timely and comprehensive book is aimed at a wide audience across science, academia industry, and policymaking. It provides the necessary material to inform relevant research communities of the state–of–the–art research and the latest development in the area of smart sustainable urban development, as well as a valuable reference for planners, designers, strategists, and ICT experts who are working towards the development and implementation of smart sustainable cities based on big data analytics and context–aware computing.

Data Analytics: Paving the Way to Sustainable Urban Mobility

Data Analytics: Paving the Way to Sustainable Urban Mobility
Author: Eftihia G. Nathanail,Ioannis D. Karakikes
Publsiher: Springer
Total Pages: 868
Release: 2018-12-11
ISBN 10: 3030023052
ISBN 13: 9783030023058
Language: EN, FR, DE, ES & NL

Data Analytics: Paving the Way to Sustainable Urban Mobility Book Review:

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

Advanced Intelligent Systems for Sustainable Development (AI2SD’2019)

Advanced Intelligent Systems for Sustainable Development (AI2SD’2019)
Author: Mostafa Ezziyyani
Publsiher: Springer Nature
Total Pages: 521
Release: 2020-02-05
ISBN 10: 303036674X
ISBN 13: 9783030366742
Language: EN, FR, DE, ES & NL

Advanced Intelligent Systems for Sustainable Development (AI2SD’2019) Book Review:

This book gathers papers presented at the second installment of the International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD-2019), which was held on July 08–11, 2019 in Marrakech, Morocco. It offers comprehensive coverage of recent advances in big data, data analytics and related paradigms. The book consists of fifty-two chapters, each of which shares the latest research in the fields of big data and data science, and describes use cases and applications of big data technologies in various domains, such as social networks and health care. All parts of the book discuss open research problems and potential opportunities that have arisen from the rapid advances in big data technologies. In addition, the book surveys the state of the art in data science, and provides practical guidance on big data analytics and data science. Expert perspectives are provided by authoritative researchers and practitioners from around the world, who discuss research developments and emerging trends, present case studies on helpful frameworks and innovative methodologies, and suggest best practices for efficient and effective data analytics. Chiefly intended for researchers, IT professionals and graduate students, the book represents a timely contribution to the growing field of big data, which has been recognized as one of the leading emerging technologies that will have a major impact on various fields of science and various aspects of human society over the next several decades. Therefore, the content in this book is an essential tool to help readers understand current developments, and provides them with an extensive overview of the field of big data analytics as it is practiced today. The chapters cover technical aspects of key areas that generate and use big data, such as management and finance, medicine and health care, networks, the Internet of Things, big data standards, benchmarking of systems, and others. In addition to a diverse range of applications, key algorithmic approaches such as graph partitioning, clustering and finite mixture modeling of high-dimensional data are also covered. The varied collection of topics addressed introduces readers to the richness of the emerging field of big data analytics.

Sustainable Development: Science, Ethics, and Public Policy

Sustainable Development: Science, Ethics, and Public Policy
Author: J. Lemons,Donald A. Brown
Publsiher: Springer Science & Business Media
Total Pages: 284
Release: 2013-06-29
ISBN 10: 9401584923
ISBN 13: 9789401584920
Language: EN, FR, DE, ES & NL

Sustainable Development: Science, Ethics, and Public Policy Book Review:

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.

Smart Grid Analytics for Sustainability and Urbanization

Smart Grid Analytics for Sustainability and Urbanization
Author: Gontar, Zbigniew H.
Publsiher: IGI Global
Total Pages: 306
Release: 2018-06-27
ISBN 10: 1522539972
ISBN 13: 9781522539971
Language: EN, FR, DE, ES & NL

Smart Grid Analytics for Sustainability and Urbanization Book Review:

Information and communication technologies play an essential role in the effectiveness and efficiency of smart city processes. Recognizing the role of process analysis in energy usage and how it can be enhanced is essential to improving city sustainability. Smart Grid Analytics for Sustainability and Urbanization provides emerging research on the development of information technology and communication systems in smart cities and smart grids. While highlighting topics such as process mining, innovation management, and sustainability optimization, this publication explores technology development and the mobilization of different environments in smart cities. This book is an important resource for graduate students, researchers, academics, engineers, and government officials seeking current research on how process analysis in energy usage is manifested and how it can be enhanced.

Applied Research in Environmental Economics

Applied Research in Environmental Economics
Author: Christoph Böhringer,Andreas Lange
Publsiher: Springer Science & Business Media
Total Pages: 314
Release: 2006-03-30
ISBN 10: 3790816450
ISBN 13: 9783790816457
Language: EN, FR, DE, ES & NL

Applied Research in Environmental Economics Book Review:

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.

Urban Growth Patterns in India

Urban Growth Patterns in India
Author: Bharath H Aithal,T.V. Ramachandra
Publsiher: CRC Press
Total Pages: 179
Release: 2020-03-24
ISBN 10: 1000045420
ISBN 13: 9781000045420
Language: EN, FR, DE, ES & NL

Urban Growth Patterns in India Book Review:

This book uses spatio-temporal analysis to understand urbanisation in Indian cities and explain the concept and impact of global greenhouse gas (GHG) emissions. It creates a GHG footprint for Indian cities and engages in a discussion about the United Nations Sustainable Development Goals (SDGs) and smart city initiatives within an Indian context. Understanding the spatial patterns of land use/land cover (LULC) dynamics in the rapidly urbanising cities of India, the readers will be able to simulate future urbanisation patterns and use spatial temporal analysis as a tool for implementing appropriate mitigation measures. Features Analyses the complete urbanisation and urban sprawl of major cities in India using advanced geospatial modelling techniques Highlights the best practices and methods used in modelling urban growth Discusses greenhouse gas emissions from various sectors and their effects in local environments Addresses the increase of local temperature in cities due to unplanned land use change and its impact on environmental sustainability and resilience Fills the need for data-driven governance and policy decisions by introducing various analyses through spatial mapping Highlighting some of the best practices and tools being used for modelling urban growth through case studies, the book is useful to those interested in using new technologies and methods for data collection and problem solving. It focuses on the major environmental issues in India, which are prevalent in most developing countries.

Knowledge for Sustainable Development

Knowledge for Sustainable Development
Author: Unesco
Publsiher: Oxford : EOLSS Publishers/UNESCO
Total Pages: 1226
Release: 2002
ISBN 10:
ISBN 13: UOM:39015053026228
Language: EN, FR, DE, ES & NL

Knowledge for Sustainable Development Book Review:

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 (http://www.eolss.net).