Handbook Of Environmental And Ecological Statistics
Download Handbook Of Environmental And Ecological Statistics full books in PDF, epub, and Kindle. Read online free Handbook Of Environmental And Ecological Statistics ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
| 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 | : Alan E. Gelfand |
| Publisher | : |
| Total Pages | : |
| Release | : 2017 |
| Genre | : NATURE |
| ISBN | : 9781315152509 |
"This handbook focuses on the enormous literature applying statistical methodology and modelling to environmental and ecological processes. The statistics community has become increasingly interdisciplinary, bringing a large collection of modern tools to all areas of application in the environmental processes. In addition, the environmental community has substantially increased its scope of data collection including, e.g., observational data, satellite-derived data, and computer model output. The resultant impact in this latter community has been substantial. The contribution of this handbook is to assemble, in roughly 35 chapters, a state-ofthe-art view of this interface"--Provided by publisher.
| Author | : Alan E. Gelfand |
| Publisher | : CRC Press |
| Total Pages | : 679 |
| Release | : 2019-01-15 |
| Genre | : Mathematics |
| ISBN | : 1351648543 |
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 | : Song S. Qian |
| Publisher | : CRC Press |
| Total Pages | : 560 |
| Release | : 2016-11-03 |
| Genre | : Mathematics |
| ISBN | : 1498728731 |
Emphasizing the inductive nature of statistical thinking, Environmental and Ecological Statistics with R, Second Edition, connects applied statistics to the environmental and ecological fields. Using examples from published works in the ecological and environmental literature, the book explains the approach to solving a statistical problem, covering model specification, parameter estimation, and model evaluation. It includes many examples to illustrate the statistical methods and presents R code for their implementation. The emphasis is on model interpretation and assessment, and using several core examples throughout the book, the author illustrates the iterative nature of statistical inference. The book starts with a description of commonly used statistical assumptions and exploratory data analysis tools for the verification of these assumptions. It then focuses on the process of building suitable statistical models, including linear and nonlinear models, classification and regression trees, generalized linear models, and multilevel models. It also discusses the use of simulation for model checking, and provides tools for a critical assessment of the developed models. The second edition also includes a complete critique of a threshold model. Environmental and Ecological Statistics with R, Second Edition focuses on statistical modeling and data analysis for environmental and ecological problems. By guiding readers through the process of scientific problem solving and statistical model development, it eases the transition from scientific hypothesis to statistical model.
| Author | : Song S. Qian |
| Publisher | : CRC Press |
| Total Pages | : 376 |
| Release | : 2016-11-03 |
| Genre | : Mathematics |
| ISBN | : 1498728758 |
Emphasizing the inductive nature of statistical thinking, Environmental and Ecological Statistics with R, Second Edition, connects applied statistics to the environmental and ecological fields. Using examples from published works in the ecological and environmental literature, the book explains the approach to solving a statistical problem, covering model specification, parameter estimation, and model evaluation. It includes many examples to illustrate the statistical methods and presents R code for their implementation. The emphasis is on model interpretation and assessment, and using several core examples throughout the book, the author illustrates the iterative nature of statistical inference. The book starts with a description of commonly used statistical assumptions and exploratory data analysis tools for the verification of these assumptions. It then focuses on the process of building suitable statistical models, including linear and nonlinear models, classification and regression trees, generalized linear models, and multilevel models. It also discusses the use of simulation for model checking, and provides tools for a critical assessment of the developed models. The second edition also includes a complete critique of a threshold model. Environmental and Ecological Statistics with R, Second Edition focuses on statistical modeling and data analysis for environmental and ecological problems. By guiding readers through the process of scientific problem solving and statistical model development, it eases the transition from scientific hypothesis to statistical model.
| Author | : S. E. Jørgensen |
| Publisher | : Elsevier |
| Total Pages | : 1209 |
| Release | : 2013-10-02 |
| Genre | : Science |
| ISBN | : 1483188787 |
Environmental Sciences and Applications, Volume 6: Handbook of Environmental Data and Ecological Parameters presents the biological effects of chemical compounds and the physical environment. This book provides a list of the most important compounds from an environmental point of view. Organized into seven parts, this volume begins with an overview of the living organisms in the natural environment. This text then explores the ecosphere, including the element cycles and general properties of chemical compound in the ecosphere. Other parts consider the biological half life time of various chemical compounds and present the toxicological data of specific importance to environmental problems. This book discusses as well the chemical compounds that are related to species. The final part deals with the dynamics of environment and contains equilibrium data, which is often the point of departure for a dynamical description. This book is a valuable resource for chemists, biologists, ecologists, scientists, and research workers.
| Author | : Gordon A. Fox |
| Publisher | : Oxford University Press |
| Total Pages | : 407 |
| Release | : 2015 |
| Genre | : Computers |
| ISBN | : 0199672547 |
The application and interpretation of statistics are central to ecological study and practice. Ecologists are now asking more sophisticated questions than in the past. These new questions, together with the continued growth of computing power and the availability of new software, have created a new generation of statistical techniques. These have resulted in major recent developments in both our understanding and practice of ecological statistics. This novel book synthesizes a number of these changes, addressing key approaches and issues that tend to be overlooked in other books such as missing/censored data, correlation structure of data, heterogeneous data, and complex causal relationships. These issues characterize a large proportion of ecological data, but most ecologists' training in traditional statistics simply does not provide them with adequate preparation to handle the associated challenges. Uniquely, Ecological Statistics highlights the underlying links among many statistical approaches that attempt to tackle these issues. In particular, it gives readers an introduction to approaches to inference, likelihoods, generalized linear (mixed) models, spatially or phylogenetically-structured data, and data synthesis, with a strong emphasis on conceptual understanding and subsequent application to data analysis. Written by a team of practicing ecologists, mathematical explanations have been kept to the minimum necessary. This user-friendly textbook will be suitable for graduate students, researchers, and practitioners in the fields of ecology, evolution, environmental studies, and computational biology who are interested in updating their statistical tool kits. A companion web site provides example data sets and commented code in the R language.
| Author | : Nicholas J. Gotelli |
| Publisher | : Sinauer |
| Total Pages | : 0 |
| Release | : 2013-03-14 |
| Genre | : Science |
| ISBN | : 9781605350646 |
A Primer of Ecological Statistics, Second Edition explains fundamental material in probability theory, experimental design, and parameter estimation for ecologists and environmental scientists. The book emphasizes a general introduction to probability theory and provides a detailed discussion of specific designs and analyses that are typically encountered in ecology and environmental science. Appropriate for use as either a stand-alone or supplementary text for upper-division undergraduate or graduate courses in ecological and environmental statistics, ecology, environmental science, environmental studies, or experimental design, the Primer also serves as a resource for environmental professionals who need to use and interpret statistics daily but have little or no formal training in the subject. The book is divided into four parts. Part I discusses the fundamentals of probability and statistical thinking. It introduces the logic and language of probability (Chapter 1), explains common statistical distributions used in ecology (Chapter 2) and important measures of central tendency and spread (Chapter 3), explains P-values, hypothesis testing, and statistical errors (Chapter 4), and introduces frequentist, Bayesian, and Monte Carlo methods of analysis (Chapter 5). Part II discusses how to successfully design and execute field experiments and sampling studies. Topics include design strategies (Chapter 6), a 'bestiary' of experimental designs (Chapter 7), and transformations and data management (Chapter 8). Part III discusses specific analyses, and covers the material that is the main core of most statistics texts. Topics include regression (Chapter 9), analysis of variance (Chapter 10), categorical data analysis (Chapter 11), and multivariate analysis (Chapter 12). Part IV—new to this edition—discusses two central topics in estimating important ecological metrics. Topics include quantification of biological diversity (Chapter 13) and estimating occupancy, detection probability, and population sizes from marked and unmarked populations (Chapter 14). The book includes a comprehensive glossary, a mathematical appendix on matrix algebra, and extensively annotated tables and figures. Footnotes introduce advanced and ancillary material: some are purely historical, others cover mathematical/statistical proofs or details, and still others address current topics in the ecological literature. Data files and code used for some of the examples, as well as errata, are available online.
| Author | : G.P. Patil |
| Publisher | : Elsevier Science |
| Total Pages | : 0 |
| Release | : 1994-02-23 |
| Genre | : Technology & Engineering |
| ISBN | : 9780444898036 |
The question of what environmental statistics is about is particularly important when it comes to the formulation of relevant research and training, whether in academia, agencies, or industries. This volume aims to give a new perception on the subject with some examples that are of concern and interest today. Environmental statistics is in a take-off stage both for reasons of societal challenge and statistical opportunity, and is demanding more and more from non-traditional and innovative statistical approaches. The chapters in this volume, which are specially prepared by several outstanding professionals involved in statistics and the environment, discuss the current state of the art in diverse areas of environmental statistics. The volume provides new perspectives and problems for future research, training, policy and regulation. It will be valuable to researchers, teachers, consultants and graduate students in statistics, environmental statistics, statistical ecology, and quantitative environmental sciences in academia, industries, governmental agencies, laboratories and libraries.
| Author | : |
| Publisher | : |
| Total Pages | : 412 |
| Release | : 2001 |
| Genre | : Ecology |
| ISBN | : |
