Environmental Data Science Masters

  environmental data science masters: Introduction to Environmental Science and Technology Gilbert M. Masters, 1974
  environmental data science masters: Data Science Applied to Sustainability Analysis Jennifer Dunn, Prasanna Balaprakash, 2021-05-11 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
  environmental data science masters: Environmental Applications of Remote Sensing Maged Marghany, 2016-06-08 Nowadays, the innovation in space technologies creates a new trend for the Earth observation and monitoring from space. This book contains high quality and compressive work on both microwave and optical remote sensing applications. This book is divided into five sections: (i) remote sensing for biomass estimation, (ii) remote sensing-based glacier studies, (iii) remote sensing for coastal and ocean applications, (iv) sewage leaks and environment disasters, and (v) remote sensing image processing. Each chapter offers an opportunity to expand the knowledge about various remote sensing techniques and persuade researchers to deliver new research novelty for environment studies.
  environmental data science masters: Introduction to Environmental Data Science William W. Hsieh, 2023-03-31 A comprehensive guide to machine learning and statistics for students and researchers of environmental data science.
  environmental data science masters: Introduction to Environmental Data Science Jerry D. Davis, 2023 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 & 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. It 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--
  environmental data science masters: Urban Cascadia and the Pursuit of Environmental Justice Nik Janos, Corina McKendry, 2021-10-26 In Portland’s harbor, environmental justice groups challenge the EPA for a more thorough cleanup of the Willamette River. Near Olympia, the Puyallup assert their tribal sovereignty and treaty rights to fish. Seattle housing activists demand that Amazon pay to address the affordability crisis it helped create. Urban Cascadia, the infrastructure, social networks, built environments, and non-human animals and plants that are interconnected in the increasingly urbanized bioregion that surrounds Portland, Seattle, and Vancouver, enjoys a reputation for progressive ambitions and forward-thinking green urbanism. Yet legacies of settler colonialism and environmental inequalities contradict these ambitions, even as people strive to achieve those progressive ideals. In this edited volume, historians, geographers, urbanists, and other scholars critically examine these contradictions to better understand the capitalist urbanization of nature, the creation of social and environmental inequalities, and the movements to fight for social and environmental justice. Neither a story of green disillusion nor one of green boosterism, Urban Cascadia and the Pursuit of Environmental Justice reveals how the region can address broader issues of environmental justice, Indigenous sovereignty, and the politics of environmental change.
  environmental data science masters: Water and Society Darrell W. Pepper, C. A. Brebbia, 2012 This book contains the papers presented at a conference co-organized by the University of Nevada-Las Vegas and the Wessex Institute of Technology to facilitate trans-disciplinary communication on issues related to the nature of water, and its use and exploitation by society. With adequate water supply becoming a critical issue in more and more area, \there is a great and urgent need to bridge the gap between the broad spectrum of social sciences and humanistic disciplines and the specialists in physical and natural sciences, biology, environmental sciences, and health. Many issues are also trans-national in nature and relate to rights of states and hence it is essential to discuss these at international level to arrive at equitable and binding solutions that will ensure the rights of society to quality water supplies. The book discusses The nature of water; Water as a human right; Water as the source of life; Water in a changing climate; Future water demands and adaptation strategies; Water resources contamination; Surface and sub-surface water resources; Irrigation and desertification; Water, sanitation and health; Transnational water rights; Legislation and controls; Water through the ages; Lessons to be learnt; and Water and disaster management.
  environmental data science masters: Energy, Environment and Sustainable Development Mohammad Aslam Uqaili, Khanji Harijan, 2011-10-14 New information and strategies for managing the energy crisis from the perspective of growing economies are presented. Numerous case studies illustrate the particular challenges that developing countries, many of which are faced with insufficient resources, encounter. As a result, many unique strategies to the problems of energy management an conservation, environmental engineering, clean technologies, biological and chemical waste treatment and waste management have been developed.
  environmental data science masters: Food and Nutritional Toxicology Stanley T. Omaye, 2004-03-15 Food and Nutritional Toxicology provides a broad overview of the chemicals in food that have the potential to produce adverse health effects. The book covers the impact on human health of food containing environmental contaminants or natural toxicants, food additives, the migration of chemicals from packaging materials into foods, and the persisten
  environmental data science masters: Urban Environmental Education Review Alex Russ, Marianne E. Krasny, 2017-06-06 Urban Environmental Education Review explores how environmental education can contribute to urban sustainability. Urban environmental education includes any practices that create learning opportunities to foster individual and community well-being and environmental quality in cities. It fosters novel educational approaches and helps debunk common assumptions that cities are ecologically barren and that city people don't care for, or need, urban nature or a healthy environment. Topics in Urban Environmental Education Review range from the urban context to theoretical underpinnings, educational settings, participants, and educational approaches in urban environmental education. Chapters integrate research and practice to help aspiring and practicing environmental educators, urban planners, and other environmental leaders achieve their goals in terms of education, youth and community development, and environmental quality in cities. The ten-essay series Urban EE Essays, excerpted from Urban Environmental Education Review, may be found here: naaee.org/eepro/resources/urban-ee-essays. These essays explore various perspectives on urban environmental education and may be reprinted/reproduced only with permission from Cornell University Press.
  environmental data science masters: State of Fear Michael Crichton, 2009-10-13 New York Times bestselling author Michael Crichton delivers another action-packed techo-thriller in State of Fear. When a group of eco-terrorists engage in a global conspiracy to generate weather-related natural disasters, its up to environmental lawyer Peter Evans and his team to uncover the subterfuge. From Tokyo to Los Angeles, from Antarctica to the Solomon Islands, Michael Crichton mixes cutting edge science and action-packed adventure, leading readers on an edge-of-your-seat ride while offering up a thought-provoking commentary on the issue of global warming. A deftly-crafted novel, in true Crichton style, State of Fear is an exciting, stunning tale that not only entertains and educates, but will make you think.
  environmental data science masters: EDS, Environmental Data Service United States. Environmental Data Service, 1976
  environmental data science masters: Introduction to Environmental Data Science Jerry Davis, 2023-03-02 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 & 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. It 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.
  environmental data science masters: Translating Diverse Environmental Data into Reliable Information Daniel A. Vallero, 2017-09-15 Translating Diverse Environmental Data into Reliable Information: How to Coordinate Evidence from Different Sources is a resource for building environmental knowledge, particularly in the era of Big Data. Environmental scientists, engineers, educators and students will find it essential to determine data needs, assess their quality, and efficiently manage their findings. Decision makers can explore new open access databases and tools, especially portals and dashboards. The book demonstrates how environmental knowledgebases are and can be built to meet the needs of modern students and professionals. Topics covered include concepts and principles that underpin air, water, and other public health and ecological topics. Integrated and systems perspectives are woven throughout, with clues on how to build and apply interdisciplinary data, which can increasingly be obtained from sources ranging from peer-reviewed research appearing in scientific journals to information gathered by citizen scientists. This opens the door to using vast amounts of open data and the necessary quality assurance and metadata considerations for their countless applications. - Provides tools to manage data of varying sizes and quality - Identifies both opportunities and cautions in using other people's data - Updates physical, chemical and biological factors that must be considered in risk evaluations and life cycle assessments - Applies to data collected by academic, governmental, businesses, and citizen scientists across environmental systems - Improves readers' ability to organize and visualize their work in the age of Big Data
  environmental data science masters: Laudato Si Pope Francis, 2015-07-18 “In the heart of this world, the Lord of life, who loves us so much, is always present. He does not abandon us, he does not leave us alone, for he has united himself definitively to our earth, and his love constantly impels us to find new ways forward. Praise be to him!” – Pope Francis, Laudato Si’ In his second encyclical, Laudato Si’: On the Care of Our Common Home, Pope Francis draws all Christians into a dialogue with every person on the planet about our common home. We as human beings are united by the concern for our planet, and every living thing that dwells on it, especially the poorest and most vulnerable. Pope Francis’ letter joins the body of the Church’s social and moral teaching, draws on the best scientific research, providing the foundation for “the ethical and spiritual itinerary that follows.” Laudato Si’ outlines: The current state of our “common home” The Gospel message as seen through creation The human causes of the ecological crisis Ecology and the common good Pope Francis’ call to action for each of us Our Sunday Visitor has included discussion questions, making it perfect for individual or group study, leading all Catholics and Christians into a deeper understanding of the importance of this teaching.
  environmental data science masters: Marine Ecotoxicology Julián Blasco, Peter M. Chapman, Olivia Campana, Miriam Hampel, 2016-08-05 Marine Ecotoxicology: Current Knowledge and Future Issues is the first unified resource to cover issues related to contamination, responses, and testing techniques of saltwater from a toxicological perspective. With its unprecedented focus on marine environments and logical chapter progression, this book is useful to graduate students, ecotoxicologists, risk assessors, and regulators involved or interested in marine waters. As human interaction with these environments increases, understanding of the pollutants and toxins introduced into the oceans becomes ever more critical, and this book builds a foundation of knowledge to assist scientists in studying, monitoring, and making decisions that affect both marine environments and human health. A team of world renowned experts provide detailed analyses of the most common contaminants in marine environments and explain the design and purpose of toxicity testing methods, while exploring the future of ecotoxicology studies in relation to the world's oceans. As the threat of increasing pollution in marine environments becomes an ever more tangible reality, Marine Ecotoxicology offers insights and guidance to mitigate that threat. - Provides practical tools and methods for assessing and monitoring the accumulation and effects of contaminants in marine environments - Unites world renowned experts in marine ecotoxicology to deliver thorough and diverse perspectives - Builds the foundation required for risk assessors and regulators to adequately assess and monitor the impact of pollution in marine environments - Offers helpful insights and guidance to graduate students, ecotoxicologists, risk assessors, and regulators interested in mitigating threats to marine waters
  environmental data science masters: X-Ray Fluorescence Spectrometry Ron Jenkins, 1988-10-03 X-Ray Fluorescence Spectrometry, Ron Jenkins Written by the principal scientist for JCPDS, the International Centre for Diffraction Data, Swarthmore, Pennsylvania, this book focuses on the scientific and technological developments achieved in the field during the past decade. It offers comprehensive coverage of all crucial topics, including: the properties and uses of X-ray emission spectrometry in material analysis; its industrial applications; X-ray diffraction; instrumentation for X-ray fluorescence spectrometry; a comparison of wavelength and energy dispersive spectrometers; and use of X-ray spectrometry for qualitative analysis.
  environmental data science masters: America's Energy Future National Research Council, National Academy of Engineering, National Academy of Sciences, Division on Engineering and Physical Sciences, Committee on America's Energy Future, 2009-12-15 For multi-user PDF licensing, please contact customer service. Energy touches our lives in countless ways and its costs are felt when we fill up at the gas pump, pay our home heating bills, and keep businesses both large and small running. There are long-term costs as well: to the environment, as natural resources are depleted and pollution contributes to global climate change, and to national security and independence, as many of the world's current energy sources are increasingly concentrated in geopolitically unstable regions. The country's challenge is to develop an energy portfolio that addresses these concerns while still providing sufficient, affordable energy reserves for the nation. The United States has enormous resources to put behind solutions to this energy challenge; the dilemma is to identify which solutions are the right ones. Before deciding which energy technologies to develop, and on what timeline, we need to understand them better. America's Energy Future analyzes the potential of a wide range of technologies for generation, distribution, and conservation of energy. This book considers technologies to increase energy efficiency, coal-fired power generation, nuclear power, renewable energy, oil and natural gas, and alternative transportation fuels. It offers a detailed assessment of the associated impacts and projected costs of implementing each technology and categorizes them into three time frames for implementation.
  environmental data science masters: Ka Palapala , 1923
  environmental data science masters: EDIS, Environmental Data and Information Service United States. Environmental Data and Information Service, 1978
  environmental data science masters: Race And The Incidence Of Environmental Hazards Bunyan Bryant, Paul Mohai, 2019-06-26 This book discusses the poor and people of color and their struggle to take control of one of the most basic aspects of their lives: the quality of their environment. It exposes the fact of environmental inequity and its consequences in face of general neglect by policymakers and social scientists.
  environmental data science masters: Environmental Toxicology Assessment Mervyn Richardson, 2002-09-11 Measurement of the extent of the toxic insult caused by the substance involved is of importance when undertaking an environmental toxicology assessment. This text outlines some of the measurement techniques that have been recently developed and
  environmental data science masters: Cardiovascular Biomechanics Peter R. Hoskins, Patricia V. Lawford, Barry J. Doyle, 2017-02-16 This book provides a balanced presentation of the fundamental principles of cardiovascular biomechanics research, as well as its valuable clinical applications. Pursuing an integrated approach at the interface of the life sciences, physics and engineering, it also includes extensive images to explain the concepts discussed. With a focus on explaining the underlying principles, this book examines the physiology and mechanics of circulation, mechanobiology and the biomechanics of different components of the cardiovascular system, in-vivo techniques, in-vitro techniques, and the medical applications of this research. Written for undergraduate and postgraduate students and including sample problems at the end of each chapter, this interdisciplinary text provides an essential introduction to the topic. It is also an ideal reference text for researchers and clinical practitioners, and will benefit a wide range of students and researchers including engineers, physicists, biologists and clinicians who are interested in the area of cardiovascular biomechanics.
  environmental data science masters: Text as Data Justin Grimmer, Margaret E. Roberts, Brandon M. Stewart, 2022-03-29 A guide for using computational text analysis to learn about the social world From social media posts and text messages to digital government documents and archives, researchers are bombarded with a deluge of text reflecting the social world. This textual data gives unprecedented insights into fundamental questions in the social sciences, humanities, and industry. Meanwhile new machine learning tools are rapidly transforming the way science and business are conducted. Text as Data shows how to combine new sources of data, machine learning tools, and social science research design to develop and evaluate new insights. Text as Data is organized around the core tasks in research projects using text—representation, discovery, measurement, prediction, and causal inference. The authors offer a sequential, iterative, and inductive approach to research design. Each research task is presented complete with real-world applications, example methods, and a distinct style of task-focused research. Bridging many divides—computer science and social science, the qualitative and the quantitative, and industry and academia—Text as Data is an ideal resource for anyone wanting to analyze large collections of text in an era when data is abundant and computation is cheap, but the enduring challenges of social science remain. Overview of how to use text as data Research design for a world of data deluge Examples from across the social sciences and industry
  environmental data science masters: Green Technologies and Environmental Sustainability Ritu Singh, Sanjeev Kumar, 2017-04-05 In the present scenario, green technologies are playing significant role in changing the course of nation’s economic growth towards sustainability and providing an alternative socio-economic model that will enable present and future generations to live in a clean and healthy environment, in harmony with nature. Green technology, which is also known as clean technology, refers to the development and extension of processes, practices, and applications that improve or replace the existing technologies facilitating society to meet their own needs while substantially decreasing the impact of human on the planet, and reducing environmental risks and ecological scarcities. The concepts of Green Technologies, if endorsed and pervaded into the lives of all societies, will facilitate the aim of the Millennium Development Goals of keeping the environment intact and improve it for the civilization to survive. Green Technologies and Environmental Sustainability is focused on the goals of green technologies which are becoming increasingly important for ensuring sustainability. This book provides different perspectives of green technology in sectors like energy, agriculture, waste management and economics and contains recent advancements made towards sustainable development in the field of bioenergy, nanotechnology, green chemistry, bioremediation, degraded land reclamation. This book is written for a large and broad readership, including researchers, scientists, academicians and readers from diverse backgrounds across various fields such as nanotechnology, chemistry, agriculture, environmental science, water engineering, waste management and energy. It could also serve as a reference book for graduates and post-graduate students, faculties, environmentalist and industrial personnel who are working in the area of green technologies.
  environmental data science masters: Environmental Data Service United States. Environmental Data Service, 1976-05
  environmental data science masters: Introduction to Data Science Rafael A. Irizarry, 2019-11-20 Introduction to Data Science: Data Analysis and Prediction Algorithms with R introduces concepts and skills that can help you tackle real-world data analysis challenges. It covers concepts from probability, statistical inference, linear regression, and machine learning. It also helps you develop skills such as R programming, data wrangling, data visualization, predictive algorithm building, file organization with UNIX/Linux shell, version control with Git and GitHub, and reproducible document preparation. This book is a textbook for a first course in data science. No previous knowledge of R is necessary, although some experience with programming may be helpful. The book is divided into six parts: R, data visualization, statistics with R, data wrangling, machine learning, and productivity tools. Each part has several chapters meant to be presented as one lecture. The author uses motivating case studies that realistically mimic a data scientist’s experience. He starts by asking specific questions and answers these through data analysis so concepts are learned as a means to answering the questions. Examples of the case studies included are: US murder rates by state, self-reported student heights, trends in world health and economics, the impact of vaccines on infectious disease rates, the financial crisis of 2007-2008, election forecasting, building a baseball team, image processing of hand-written digits, and movie recommendation systems. The statistical concepts used to answer the case study questions are only briefly introduced, so complementing with a probability and statistics textbook is highly recommended for in-depth understanding of these concepts. If you read and understand the chapters and complete the exercises, you will be prepared to learn the more advanced concepts and skills needed to become an expert.
  environmental data science masters: Research in Biological and Medical Sciences Walter Reed Army Institute of Research, 1973
  environmental data science masters: Data Science in Practice Alan Said, Vicenç Torra, 2018-09-19 This book approaches big data, artificial intelligence, machine learning, and business intelligence through the lens of Data Science. We have grown accustomed to seeing these terms mentioned time and time again in the mainstream media. However, our understanding of what they actually mean often remains limited. This book provides a general overview of the terms and approaches used broadly in data science, and provides detailed information on the underlying theories, models, and application scenarios. Divided into three main parts, it addresses what data science is; how and where it is used; and how it can be implemented using modern open source software. The book offers an essential guide to modern data science for all students, practitioners, developers and managers seeking a deeper understanding of how various aspects of data science work, and of how they can be employed to gain a competitive advantage.
  environmental data science masters: Data Augmented Design Ying Long, Enjia Zhang, 2020-08-13 This book offers an essential introduction to a new urban planning and design methodology called Data Augmented Design (DAD) and its evolution and progresses, highlighting data driven methods, urban planning and design applications and related theories. The authors draw on many kinds of data, including big, open, and conventional data, and discuss cutting-edge technologies that illustrate DAD as a future oriented design framework in terms of its focus on multi-data, multi-method, multi-stage and multi-scale sustainable urban planning. In four sections and ten chapters, the book presents case studies to address the core concepts of DAD, the first type of applications of DAD that emerged in redevelopment-oriented planning and design, the second type committed to the planning and design for urban expansion, and the future-oriented applications of DAD to advance sustainable technologies and the future structural form of the built environment. The book is geared towards a broad readership, ranging from researchers and students of urban planning, urban design, urban geography, urban economics, and urban sociology, to practitioners in the areas of urban planning and design.​
  environmental data science masters: The Grants Register 2024 Palgrave Macmillan, 2023-09-23 The Grants Register 2024 is the most authoritative and comprehensive guide available of postgraduate and professional funding worldwide. It contains international coverage of grants in almost 60 countries, both English and non-English speaking; information on subject areas, level of study, eligibility and value of awards; and information on over 6,000 awards provided by over 1,300 awarding bodies. Awarding bodies are arranged alphabetically with a full list of awards to allow for comprehensive reading. The Register contains full contact details including telephone, fax, email and websites as well as details of application procedures and closing dates. It is updated annually to ensure accurate information.
  environmental data science masters: Environmental Data Bank United States. Congress. House. Merchant Marine and Fisheries, 1970
  environmental data science masters: Urban Agriculture and Food Systems Information Resources Management Association, 2019 This book is an authoritative resource on the latest technological developments in urban agriculture and its ability to supplement current food systems. The content within this publication represents the work of topics such as sustainable production in urban spaces, farming practices, and urban distribution methods--Provided by publisher.
  environmental data science masters: 2022 CFA Program Curriculum Level I Box Set CFA Institute, 2021-05-04 Prepare for success on the 2022 CFA Level I exam with the latest official CFA® Program Curriculum. The 2022 CFA Program Curriculum Level I Box Set contains all the material you need to succeed on the Level I CFA exam in 2022. This set includes the full official curriculum for Level I and is part of the larger CFA Candidate Body of Knowledge (CBOK). Highly visual and intuitively organized, this box set allows you to: Learn from financial thought leaders. Access market-relevant instruction. Gain critical knowledge and skills. The set also includes practice questions to assist with your recall of key terms, concepts, and formulas. Perfect for anyone preparing for the 2022 Level I CFA exam, the 2022 CFA Program Curriculum Level I Box Set is a must-have resource for those seeking the foundational skills required to become a Chartered Financial Analyst®.
  environmental data science masters: Estuarine Processes: Uses, stresses, and adaptation to the estuary Martin L. Wiley, 1976
  environmental data science masters: Earth Repair Leila Darwish, 2013-06-01 Millions of acres of land have been contaminated by pesticides, improperly handled chemicals, dirty energy projects, toxic waste, and other pollutants in the United States alone. This toxic legacy impacts the environment, our health, our watersheds, and land that could otherwise be used to grow healthy local food and medicines. Conventional clean-up techniques employed by government and industry are tremendously expensive and resource-intensive and can cause further damage. More and more communities find themselves increasingly unable to rely on those companies and governments who created the problems to step in and provide solutions. Earth Repair describes a host of powerful grassroots bioremediation techniques, including: Microbial remediation—using microorganisms to break down and bind contaminants Phytoremediation—using plants to extract, bind, and transform toxins Mycoremediation—using fungi to clean up contaminated soil and water Packed with valuable, firsthand information from visionaries in the field, Earth Repair empowers communities and individuals to take action and heal contaminated and damaged land. Encompassing everything from remediating and regenerating abandoned city lots for urban farmers and gardeners to recovering from environmental disasters and industrial catastrophes such as oil spills and nuclear fallout, this fertile toolbox is essential reading for anyone who wishes to transform environmental despair into constructive action. Leila Darwish is a community organizer, urban gardener, and permaculture designer with a focus on using grassroots bioremediation to address environmental justice issues in communities struggling with toxic contamination of their land and drinking water.
  environmental data science masters: Advanced Air Pollution Farhad Nejadkoorki, 2011-08-17 Leading air quality professionals describe different aspects of air pollution. The book presents information on four broad areas of interest in the air pollution field; the air pollution monitoring; air quality modeling; the GIS techniques to manage air quality; the new approaches to manage air quality. This book fulfills the need on the latest concepts of air pollution science and provides comprehensive information on all relevant components relating to air pollution issues in urban areas and industries. The book is suitable for a variety of scientists who wish to follow application of the theory in practice in air pollution. Known for its broad case studies, the book emphasizes an insightful of the connection between sources and control of air pollution, rather than being a simple manual on the subject.
  environmental data science masters: Capital City Samuel Stein, 2019-03-05 “This superbly succinct and incisive book” on urban planning and real estate argues gentrification isn’t driven by latte-sipping hipsters—but is engineered by the capitalist state (Michael Sorkin, author of All Over the Map) Our cities are changing. Around the world, more and more money is being invested in buildings and land. Real estate is now a $217 trillion dollar industry, worth thirty-six times the value of all the gold ever mined. It forms sixty percent of global assets, and one of the most powerful people in the world—the former president of the United States—made his name as a landlord and developer. Samuel Stein shows that this explosive transformation of urban life and politics has been driven not only by the tastes of wealthy newcomers, but by the state-driven process of urban planning. Planning agencies provide a unique window into the ways the state uses and is used by capital, and the means by which urban renovations are translated into rising real estate values and rising rents. Capital City explains the role of planners in the real estate state, as well as the remarkable power of planning to reclaim urban life.
  environmental data science masters: Geocomputation with R Robin Lovelace, Jakub Nowosad, Jannes Muenchow, 2019-03-22 Geocomputation with R is for people who want to analyze, visualize and model geographic data with open source software. It is based on R, a statistical programming language that has powerful data processing, visualization, and geospatial capabilities. The book equips you with the knowledge and skills to tackle a wide range of issues manifested in geographic data, including those with scientific, societal, and environmental implications. This book will interest people from many backgrounds, especially Geographic Information Systems (GIS) users interested in applying their domain-specific knowledge in a powerful open source language for data science, and R users interested in extending their skills to handle spatial data. The book is divided into three parts: (I) Foundations, aimed at getting you up-to-speed with geographic data in R, (II) extensions, which covers advanced techniques, and (III) applications to real-world problems. The chapters cover progressively more advanced topics, with early chapters providing strong foundations on which the later chapters build. Part I describes the nature of spatial datasets in R and methods for manipulating them. It also covers geographic data import/export and transforming coordinate reference systems. Part II represents methods that build on these foundations. It covers advanced map making (including web mapping), bridges to GIS, sharing reproducible code, and how to do cross-validation in the presence of spatial autocorrelation. Part III applies the knowledge gained to tackle real-world problems, including representing and modeling transport systems, finding optimal locations for stores or services, and ecological modeling. Exercises at the end of each chapter give you the skills needed to tackle a range of geospatial problems. Solutions for each chapter and supplementary materials providing extended examples are available at https://geocompr.github.io/geocompkg/articles/.
  environmental data science masters: War, Peace, and Security Jacques Fontanel, Manas Chatterji, 2008-10-13 In the name of international and domestic security, billions of dollars are wasted on unproductive military spending in both developed and developing countries, when millions are starving and living without basic human needs. This book contains articles relating to military spending, military industrial establishments, and peace keeping.
Programme Specification 2024-25 - Imperial College London
The MSc Environmental Data Science and Machine Learning will educate future environmental scientists in data science, machine learning and associated computational technologies.

M.S. Environmental Data Science
The degree consists of a set of required core and elective courses in both data science and environmental studies. Students will learn about artificial intelligence (particularly machine …

Program Learning Objectives - University of Southern California
Upon completion of the USC Master of Science in Environmental Data Science, students will have a foundation in the central theories, concepts and principles of natural sciences while training …

Graduate Data Science and Analytics Handbook - Eastern …
Oct 13, 2024 · Eastern University’s 100% online Master of Science in Data Analytics empowers students for success in the rapidly growing data-driven industries through flexible, self-paced …

Data Science Program - University of Southern California
Faculty in this program run large data science projects in natural language processing, social network analysis, biomedical data, environmental modeling, and social justice.

Master of Science Degree in Environmental Data Science
science skills to analyze real-world environmental datasets. Knowledge gained here will be applicable toward a range of professional paths in research and natural resource management.

Environmental Data Science
The training includes the concepts and fundamentals on data science and remote sensing, and computer- based hands on experience in geographical information systems (GIS), spatial …

Master’s in Environmental Geographic Information Science
Combining technical GIS and data analysis skills with organization and communication skills, the MPS in Environmental Geographic Information Science will give you the skills and credentials …

Master of Research in Environmental Data Science
Build a cohort of students and equip them with skills that prepare them optimally for PhD research. Students will undertake both individual masters-level research projects, as well as a …

MASTER OF SCIENCE IN DATA SCIENCE FOR SUSTAINABILITY
The innovative MSc in Data Science for Sustainability is an interdisciplinary programme born from the partnership between the Department of Statistics and Data Science and the Centre for …

Earth and Environmental Sciences Postgraduate Courses
Master’s courses at The University of Manchester are designed to build the specialist knowledge and skills you need to enhance your employability and tackle the challenges facing our world …

Environmental Studies, MES - University of Pennsylvania
Effective data analysis and the ability to make data-driven decisions are integral to professional careers in the environmental sector. The data analytics course provides students with an …

MASTER OF SCIENCE IN ENVIRONMENTAL SCIENCE AND …
The Master of Science in Environmental Science and Ecosystem Management (MS ESEM) Program intends to provide professionals with an in-depth technical background in …

Data Science Program - University of Southern California
We offer a comprehensive Master of Science in Applied Data Science program that enable students to learn about a range of topics in machine learning, distributed data systems, and the …

Master of Science (Environmental Science)-ODL - wbnsou.ac.in
The aim of the postgraduate Environmental Science in ODL programme is to build up environmentalists, who will fight for the environment and help to participate United Nations' …

MASTERS IN STATISTICAL SCIENCE with Specialisation in Data …
master the complexities of Data Science. HOW WILL I BENEFIT? In this professional training programme which develops students for the business environment, you will obtain: • An MSc …

MASTER OF SCIENCE IN ENVIRONMENTAL DATA SCIENCE
Students can complete the degree in either three or four semesters, depending on whether they take courses in the summer.

Programme Specification (2024-25) - Imperial College London
Data science is central to the design and operation of modern resilient, sustainable environmental engineering systems.

MCAST MASTER OF SCIENCE IN ENVIRONMENTAL …
geographic information science related to the fields of reserve planning, environmental science, natural resources, and ecology for the purpose of spatial analysis and the geo-visualisation of …

Introduction to Environmental Data Science
Introduction to Environmental Data Science. It is an ideal textbook to teach undergraduate to graduate level students in environmen-tal science, environmental studies, geography, earth …

CAPSTONE PROJECTS: MASTER OF ENVIRONMENTAL DATA …
Serving as t he Master of Environmental Data Science (MEDS) t hesis, Capstone Projects are six-mont h col laborat ions between a cl ient and a team of highly ded icated MEDS students. …

Postgraduate Programs - Adama University
v. School of Humanities and Social Science (SoHSS) Department MSc Program Specializations Computer Science and Engineering Computer Science and Engineering • Computer Science …

Chapter 1: Overview of Environment Statistics - UNSD
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