Handbook On Environment Statistics
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Author | : Alan E. Gelfand |
Publisher | : CRC Press |
Total Pages | : 876 |
Release | : 2019-01-15 |
Genre | : Mathematics |
ISBN | : 1498752128 |
This handbook focuses on the enormous literature applying statistical methodology and modelling to environmental and ecological processes. The 21st century statistics community has become increasingly interdisciplinary, bringing a large collection of modern tools to all areas of application in environmental processes. In addition, the environmental community has substantially increased its scope of data collection including observational data, satellite-derived data, and computer model output. The resultant impact in this latter community has been substantial; no longer are simple regression and analysis of variance methods adequate. The contribution of this handbook is to assemble a state-of-the-art view of this interface. Features: An internationally regarded editorial team. A distinguished collection of contributors. A thoroughly contemporary treatment of a substantial interdisciplinary interface. Written to engage both statisticians as well as quantitative environmental researchers. 34 chapters covering methodology, ecological processes, environmental exposure, and statistical methods in climate science.
Author | : Frank R. Spellman |
Publisher | : CRC Press |
Total Pages | : 862 |
Release | : 2013-11-12 |
Genre | : Mathematics |
ISBN | : 1466586370 |
A thorough revision of the previous "Environmental Engineer’s Mathematics Handbook," this book offers readers an unusual approach to presenting environmental math concepts, emphasizing the relationship between the principles in natural processes and environmental processes. It integrates the fundamental math operations performed by environmental practitioners for air, water, wastewater, solid/hazardous wastes, biosolids, environmental economics, stormwater operations, and environmental health, safety, and welfare. New material includes quadratic equations, Quadratic equations, Boolean algebra, statistics review, fundamental fire science, basic electricity for environmental practitioners, and environmental health computations and solutions.
Author | : Steven P. Millard |
Publisher | : CRC Press |
Total Pages | : 834 |
Release | : 2000-09-21 |
Genre | : Mathematics |
ISBN | : 142003717X |
A clear, comprehensive treatment of the subject, Environmental Statistics with S-PLUS surveys the vast array of statistical methods used to collect and analyze environmental data. The book explains what these methods are, how to use them, and where to find references to them. In addition, it provides insight into what to think about before you coll
Author | : Benoit Cushman-Roisin |
Publisher | : Elsevier |
Total Pages | : 274 |
Release | : 2021-05-14 |
Genre | : Science |
ISBN | : 0128230118 |
Data, Statistics, and Useful Numbers for Environmental Sustainability: Bringing the Numbers to Life is an accessible reference for researchers working in environmental and sustainability fields who need to communicate the latest data and statistics to reinforce their own research or message. The book compiles the most-needed numbers into one resource and covers a variety of relevant topics, including materials, energy, environment, city planning, electronics, and waste. This handbook is clearly indexed and full of comprehensive tables, making it easy to find answers. Researchers in environmental and sustainability-related fields will find it an invaluable resource. - Collects and presents important environmental data in one accessible resource - Provides key information needed for effectively communicating environmental and sustainability issues - Offers a clear index - Includes detailed tables throughout for ease of access
Author | : Douglas E. Splitstone |
Publisher | : CRC Press |
Total Pages | : 256 |
Release | : 2003-09-25 |
Genre | : Mathematics |
ISBN | : 0203496892 |
When interpreting environmental data, scientists and engineers first must select the correct statistical tool to use for their analysis. By doing this they will be able to make sound decisions in their efforts to solve environmental problems. They need a detailed reference that points out the subtle differences between statistical procedures, makin
Author | : Bill Gates |
Publisher | : Vintage |
Total Pages | : 201 |
Release | : 2021-02-16 |
Genre | : Science |
ISBN | : 0385546149 |
#1 NEW YORK TIMES BEST SELLER • In this urgent, authoritative book, Bill Gates sets out a wide-ranging, practical—and accessible—plan for how the world can get to zero greenhouse gas emissions in time to avoid a climate catastrophe. Bill Gates has spent a decade investigating the causes and effects of climate change. With the help of experts in the fields of physics, chemistry, biology, engineering, political science, and finance, he has focused on what must be done in order to stop the planet's slide to certain environmental disaster. In this book, he not only explains why we need to work toward net-zero emissions of greenhouse gases, but also details what we need to do to achieve this profoundly important goal. He gives us a clear-eyed description of the challenges we face. Drawing on his understanding of innovation and what it takes to get new ideas into the market, he describes the areas in which technology is already helping to reduce emissions, where and how the current technology can be made to function more effectively, where breakthrough technologies are needed, and who is working on these essential innovations. Finally, he lays out a concrete, practical plan for achieving the goal of zero emissions—suggesting not only policies that governments should adopt, but what we as individuals can do to keep our government, our employers, and ourselves accountable in this crucial enterprise. As Bill Gates makes clear, achieving zero emissions will not be simple or easy to do, but if we follow the plan he sets out here, it is a goal firmly within our reach.
Author | : Richard O. Gilbert |
Publisher | : John Wiley & Sons |
Total Pages | : 354 |
Release | : 1987-02-15 |
Genre | : Technology & Engineering |
ISBN | : 9780471288787 |
This book discusses a broad range of statistical design and analysis methods that are particularly well suited to pollution data. It explains key statistical techniques in easy-to-comprehend terms and uses practical examples, exercises, and case studies to illustrate procedures. Dr. Gilbert begins by discussing a space-time framework for sampling pollutants. He then shows how to use statistical sample survey methods to estimate average and total amounts of pollutants in the environment, and how to determine the number of field samples and measurements to collect for this purpose. Then a broad range of statistical analysis methods are described and illustrated. These include: * determining the number of samples needed to find hot spots * analyzing pollution data that are lognormally distributed * testing for trends over time or space * estimating the magnitude of trends * comparing pollution data from two or more populations New areas discussed in this sourcebook include statistical techniques for data that are correlated, reported as less than the measurement detection limit, or obtained from field-composited samples. Nonparametric statistical analysis methods are emphasized since parametric procedures are often not appropriate for pollution data. This book also provides an illustrated comprehensive computer code for nonparametric trend detection and estimation analyses as well as nineteen statistical tables to permit easy application of the discussed statistical techniques. In addition, many publications are cited that deal with the design of pollution studies and the statistical analysis of pollution data. This sourcebook will be a useful tool for applied statisticians, ecologists, radioecologists, hydrologists, biologists, environmental engineers, and other professionals who deal with the collection, analysis, and interpretation of pollution in air, water, and soil.
Author | : Janick Artiola |
Publisher | : Elsevier |
Total Pages | : 425 |
Release | : 2004-06-10 |
Genre | : Science |
ISBN | : 0080491278 |
Environmental Monitoring and Characterization is an integrated, hands-on resource for monitoring all aspects of the environment. Sample collection methods and relevant physical, chemical and biological processes necessary to characterize the environment are brought together in twenty chapters which cover: sample collection methods, monitoring terrestrial, aquatic and air environments, and relevant chemical, physical and biological processes and contaminants. This book will serve as an authoritative reference for advanced students and environmental professionals. - Examines the integration of physical, chemical, and biological processes - Emphasizes field methods and real-time data acquisition, made more accessible with case studies, problems, calculations, and questions - Includes four color illustrations throughout the text - Brings together the concepts of environmental monitoring and site characterization
Author | : Linda Mayes |
Publisher | : Cambridge University Press |
Total Pages | : 741 |
Release | : 2012-08-27 |
Genre | : Psychology |
ISBN | : 1139536168 |
Families, communities and societies influence children's learning and development in many ways. This is the first handbook devoted to the understanding of the nature of environments in child development. Utilizing Urie Bronfenbrenner's idea of embedded environments, this volume looks at environments from the immediate environment of the family (including fathers, siblings, grandparents and day-care personnel) to the larger environment including schools, neighborhoods, geographic regions, countries and cultures. Understanding these embedded environments and the ways in which they interact is necessary to understand development.
Author | : A. John Bailer |
Publisher | : Routledge |
Total Pages | : 596 |
Release | : 2020-04-03 |
Genre | : Mathematics |
ISBN | : 1351414143 |
Statistics for Environmental Biology and Toxicology presents and illustrates statistical methods appropriate for the analysis of environmental data obtained in biological or toxicological experiments. Beginning with basic probability and statistical inferences, this text progresses through non-linear and generalized linear models, trend testing, time-to-event data and analysis of cross-classified tabular and categorical data. For the more complex analyses, extensive examples including SAS and S-PLUS programming code are provided to assist the reader when implementing the methods in practice.