Data Science Applied To Sustainability Analysis PDF Download
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| Author | : Jennifer Dunn |
| Publisher | : Elsevier |
| Total Pages | : 312 |
| Release | : 2021-05-11 |
| Genre | : Science |
| ISBN | : 0128179775 |
Download Data Science Applied to Sustainability Analysis Book in PDF, ePub and Kindle
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
| Author | : Jorge Marx Gómez |
| Publisher | : Springer Nature |
| Total Pages | : 195 |
| Release | : 2022-09-26 |
| Genre | : Computers |
| ISBN | : 3031125274 |
Download Sustainable Development Through Data Analytics and Innovation Book in PDF, ePub and Kindle
Sustainable development is based on the idea that societies should advance without compromising their future development requirements. This book explores how the application of data analytics and digital technologies can ensure that development changes are executed on the basis of factual data and information. It addresses how innovations that rely on digital technologies can support sustainable development across all sectors and all social, economic, and environmental aspects and help us achieve the Sustainable Development Goals (SDGs). The book also highlights techniques, processes, models, tools, and practices used to achieve sustainable development through data analysis. The various topics covered in this book are critically evaluated, not only theoretically, but also from an application perspective. It will be of interest to researchers and students, especially those in the fields of applied data analytics, business intelligence and knowledge management.
| Author | : Ting Yu |
| Publisher | : CRC Press |
| Total Pages | : 443 |
| Release | : 2016-04-19 |
| Genre | : Business & Economics |
| ISBN | : 1439895953 |
Download Computational Intelligent Data Analysis for Sustainable Development Book in PDF, ePub and Kindle
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
| Author | : Jingzheng Ren |
| Publisher | : Elsevier |
| Total Pages | : 446 |
| Release | : 2021-08-05 |
| Genre | : Science |
| ISBN | : 012824240X |
Download Methods in Sustainability Science Book in PDF, ePub and Kindle
Methods in Sustainability Science: Assessment, Prioritization, Improvement, Design and Optimization presents cutting edge, detailed methodologies needed to create sustainable growth in any field or industry, including life cycle assessments, building design, and energy systems. The book utilized a systematic structured approach to each of the methodologies described in an interdisciplinary way to ensure the methodologies are applicable in the real world, including case studies to demonstrate the methods. The chapters are written by a global team of authors in a variety of sustainability related fields. Methods in Sustainability Science: Assessment, Prioritization, Improvement, Design and Optimization will provide academics, researchers and practitioners in sustainability, especially environmental science and environmental engineering, with the most recent methodologies needed to maintain a sustainable future. It is also a necessary read for postgraduates in sustainability, as well as academics and researchers in energy and chemical engineering who need to ensure their industrial methodologies are sustainable. Provides a comprehensive overview of the most recent methodologies in sustainability assessment, prioritization, improvement, design and optimization Sections are organized in a systematic and logical way to clearly present the most recent methodologies for sustainability and the chapters utilize an interdisciplinary approach that covers all considerations of sustainability Includes detailed case studies demonstrating the efficacies of the described methods
| Author | : S. Shmelev |
| Publisher | : Springer |
| Total Pages | : 501 |
| Release | : 2012-01-27 |
| Genre | : Business & Economics |
| ISBN | : 0230362435 |
Download Sustainability Analysis Book in PDF, ePub and Kindle
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.
| Author | : Bikas Kumar Sinha |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 2021 |
| Genre | : |
| ISBN | : 9789811619205 |
Download Data Science and SDGs Book in PDF, ePub and Kindle
The book presents contributions on statistical models and methods applied, for both data science and SDGs, in one place. Measuring and controlling data of SDGs, data driven measurement of progress needs to be distributed to stakeholders. In this situation, the techniques used in data science, specially, in the big data analytics, play an important role rather than the traditional data gathering and manipulation techniques. This book fills this space through its twenty contributions. The contributions have been selected from those presented during the 7th International Conference on Data Science and Sustainable Development Goals organized by the Department of Statistics, University of Rajshahi, Bangladesh; and cover topics mainly on SDGs, bioinformatics, public health, medical informatics, environmental statistics, data science and machine learning. The contents of the volume would be useful to policymakers, researchers, government entities, civil society, and nonprofit organizations for monitoring and accelerating the progress of SDGs.
| Author | : Guido Sonnemann |
| Publisher | : Edward Elgar Publishing |
| Total Pages | : 461 |
| Release | : 2024-04-12 |
| Genre | : Business & Economics |
| ISBN | : 1800378653 |
Download Handbook on Life Cycle Sustainability Assessment Book in PDF, ePub and Kindle
This Handbook presents the state-of-the-art of Life Cycle Sustainability Assessment (LCSA) practice and provides guidance for its implementation and outlook for future work. Spotlighting sustainability analysts, managers and overall decision-makers from private and public sectors as well as experts in academia, it covers the historical background and current global context for life cycle sustainability assessment, methods and data management advancements.
| Author | : Cuong Ha-Minh |
| Publisher | : Springer Nature |
| Total Pages | : 1861 |
| Release | : 2021-10-28 |
| Genre | : Science |
| ISBN | : 9811671605 |
Download CIGOS 2021, Emerging Technologies and Applications for Green Infrastructure Book in PDF, ePub and Kindle
This book highlights the key role of green infrastructure (GI) in providing natural and ecosystem solutions, helping alleviate many of the environmental, social, and economic problems caused by rapid urbanization. The book gathers the emerging technologies and applications in various disciplines involving geotechnics, civil engineering, and structures, which are presented in numerous high-quality papers by worldwide researchers, practitioners, policymakers, and entrepreneurs at the 6th CIGOS event, 2021. Moreover, by sharing knowledge and experiences around emerging GI technologies and policy issues, the book aims at encouraging adoption of GI technologies as well as building capacity for implementing GI practices at all scales. This book is useful for researchers and professionals in designing, building, and managing sustainable buildings and infrastructure.
| Author | : Sukhminderjit Kaur |
| Publisher | : Springer Nature |
| Total Pages | : 372 |
| Release | : |
| Genre | : |
| ISBN | : 9819729106 |
Download Metabolomics, Proteomics and Gene Editing Approaches in Biofertilizer Industry Book in PDF, ePub and Kindle
| Author | : Jerry Davis |
| Publisher | : CRC Press |
| Total Pages | : 492 |
| Release | : 2023-03-13 |
| Genre | : Business & Economics |
| ISBN | : 100084241X |
Download Introduction to Environmental Data Science Book in PDF, ePub and Kindle
Introduction to Environmental Data Science focuses on data science methods in the R language applied to environmental research, with sections on exploratory data analysis in R including data abstraction, transformation, and visualization; spatial data analysis in vector and raster models; statistics and modelling ranging from exploratory to modelling, considering confirmatory statistics and extending to machine learning models; time series analysis, focusing especially on carbon and micrometeorological flux; and communication. Introduction to Environmental Data Science is an ideal textbook to teach undergraduate to graduate level students in environmental science, environmental studies, geography, earth science, and biology, but can also serve as a reference for environmental professionals working in consulting, NGOs, and government agencies at the local, state, federal, and international levels. Features • Gives thorough consideration of the needs for environmental research in both spatial and temporal domains. • Features examples of applications involving field-collected data ranging from individual observations to data logging. • Includes examples also of applications involving government and NGO sources, ranging from satellite imagery to environmental data collected by regulators such as EPA. • Contains class-tested exercises in all chapters other than case studies. Solutions manual available for instructors. • All examples and exercises make use of a GitHub package for functions and especially data.
