Eco Stats Data Analysis In Ecology

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Eco-Stats: Data Analysis in Ecology

Author : David I Warton
Publisher : Springer Nature
ISBN 13 : 3030884430
Total Pages : 434 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Eco-Stats: Data Analysis in Ecology by : David I Warton

Download or read book Eco-Stats: Data Analysis in Ecology written by David I Warton and published by Springer Nature. This book was released on 2022-08-10 with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces ecologists to the wonderful world of modern tools for data analysis, especially multivariate analysis. For biologists with relatively little prior knowledge of statistics, it introduces a modern, advanced approach to data analysis in an intuitive and accessible way. The book begins by reviewing some core principles in statistics, and relates common methods to the linear model, a general framework for modeling data where the response is continuous. This is then extended to discrete data using generalized linear models, to designs with multiple sampling levels via mixed models, and to situations where there are multiple response variables via model-based approaches to multivariate analysis. Along the way there is an introduction to: important principles in model selection; adaptations of the model to handle non-linearity and cyclical variables; dependence due to structured correlation in time, space or phylogeny; and design-based techniques for inference that can relax some of the modelling assumptions. It concludes with a range of advanced topics in model-based multivariate analysis relevant to the modern ecologist, including fourth corner, latent variable and copula models. Examples span a variety of applications including environmental monitoring, species distribution modeling, global-scale surveys of plant traits, and small field experiments on biological controls. Math Boxes throughout the book explain some of the core ideas mathematically for readers who want to delve deeper, and R code is used throughout. Accompanying code, data, and solutions to exercises can be found in the ecostats R package on CRAN.

Analyzing Ecological Data

Author : Alain Zuur
Publisher : Springer
ISBN 13 : 0387459723
Total Pages : 686 pages
Book Rating : 4.3/5 (874 download)

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Book Synopsis Analyzing Ecological Data by : Alain Zuur

Download or read book Analyzing Ecological Data written by Alain Zuur and published by Springer. This book was released on 2007-08-29 with total page 686 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a practical introduction to analyzing ecological data using real data sets. The first part gives a largely non-mathematical introduction to data exploration, univariate methods (including GAM and mixed modeling techniques), multivariate analysis, time series analysis, and spatial statistics. The second part provides 17 case studies. The case studies include topics ranging from terrestrial ecology to marine biology and can be used as a template for a reader’s own data analysis. Data from all case studies are available from www.highstat.com. Guidance on software is provided in the book.

Ecological Statistics

Author : Gordon A. Fox
Publisher : Oxford University Press
ISBN 13 : 0199672547
Total Pages : 407 pages
Book Rating : 4.1/5 (996 download)

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Book Synopsis Ecological Statistics by : Gordon A. Fox

Download or read book Ecological Statistics written by Gordon A. Fox and published by Oxford University Press. This book was released on 2015 with total page 407 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Environmental and Ecological Statistics with R

Author : Song S. Qian
Publisher : CRC Press
ISBN 13 : 1498728731
Total Pages : 560 pages
Book Rating : 4.4/5 (987 download)

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Book Synopsis Environmental and Ecological Statistics with R by : Song S. Qian

Download or read book Environmental and Ecological Statistics with R written by Song S. Qian and published by CRC Press. This book was released on 2016-11-03 with total page 560 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Multivariate Analysis of Ecological Data

Author : Michael Greenacre
Publisher : Fundacion BBVA
ISBN 13 : 8492937505
Total Pages : 336 pages
Book Rating : 4.4/5 (929 download)

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Book Synopsis Multivariate Analysis of Ecological Data by : Michael Greenacre

Download or read book Multivariate Analysis of Ecological Data written by Michael Greenacre and published by Fundacion BBVA. This book was released on 2014-01-09 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: La diversidad biológica es fruto de la interacción entre numerosas especies, ya sean marinas, vegetales o animales, a la par que de los muchos factores limitantes que caracterizan el medio que habitan. El análisis multivariante utiliza las relaciones entre diferentes variables para ordenar los objetos de estudio según sus propiedades colectivas y luego clasificarlos; es decir, agrupar especies o ecosistemas en distintas clases compuestas cada una por entidades con propiedades parecidas. El fin último es relacionar la variabilidad biológica observada con las correspondientes características medioambientales. Multivariate Analysis of Ecological Data explica de manera completa y estructurada cómo analizar e interpretar los datos ecológicos observados sobre múltiples variables, tanto biológicos como medioambientales. Tras una introducción general a los datos ecológicos multivariantes y la metodología estadística, se abordan en capítulos específicos, métodos como aglomeración (clustering), regresión, biplots, escalado multidimensional, análisis de correspondencias (simple y canónico) y análisis log-ratio, con atención también a sus problemas de modelado y aspectos inferenciales. El libro plantea una serie de aplicaciones a datos reales derivados de investigaciones ecológicas, además de dos casos detallados que llevan al lector a apreciar los retos de análisis, interpretación y comunicación inherentes a los estudios a gran escala y los diseños complejos.

Statistical Ecology

Author : John A. Ludwig
Publisher : John Wiley & Sons
ISBN 13 : 9780471832355
Total Pages : 362 pages
Book Rating : 4.8/5 (323 download)

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Book Synopsis Statistical Ecology by : John A. Ludwig

Download or read book Statistical Ecology written by John A. Ludwig and published by John Wiley & Sons. This book was released on 1988-05-18 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ecological community data. Spatial pattern analysis. Species-abundance relations. Species affinity. Community classification. Community ordination. Community interpretation.

Multivariate Analysis of Ecological Data with ade4

Author : Jean Thioulouse
Publisher : Springer
ISBN 13 : 1493988506
Total Pages : 334 pages
Book Rating : 4.4/5 (939 download)

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Book Synopsis Multivariate Analysis of Ecological Data with ade4 by : Jean Thioulouse

Download or read book Multivariate Analysis of Ecological Data with ade4 written by Jean Thioulouse and published by Springer. This book was released on 2018-11-08 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces the ade4 package for R which provides multivariate methods for the analysis of ecological data. It is implemented around the mathematical concept of the duality diagram, and provides a unified framework for multivariate analysis. The authors offer a detailed presentation of the theoretical framework of the duality diagram and also of its application to real-world ecological problems. These two goals may seem contradictory, as they concern two separate groups of scientists, namely statisticians and ecologists. However, statistical ecology has become a scientific discipline of its own, and the good use of multivariate data analysis methods by ecologists implies a fair knowledge of the mathematical properties of these methods. The organization of the book is based on ecological questions, but these questions correspond to particular classes of data analysis methods. The first chapters present both usual and multiway data analysis methods. Further chapters are dedicated for example to the analysis of spatial data, of phylogenetic structures, and of biodiversity patterns. One chapter deals with multivariate data analysis graphs. In each chapter, the basic mathematical definitions of the methods and the outputs of the R functions available in ade4 are detailed in two different boxes. The text of the book itself can be read independently from these boxes. Thus the book offers the opportunity to find information about the ecological situation from which a question raises alongside the mathematical properties of methods that can be applied to answer this question, as well as the details of software outputs. Each example and all the graphs in this book come with executable R code.

Environmental and Ecological Statistics with R, Second Edition

Author : Song S. Qian
Publisher : CRC Press
ISBN 13 : 1498728758
Total Pages : 376 pages
Book Rating : 4.4/5 (987 download)

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Book Synopsis Environmental and Ecological Statistics with R, Second Edition by : Song S. Qian

Download or read book Environmental and Ecological Statistics with R, Second Edition written by Song S. Qian and published by CRC Press. This book was released on 2016-11-03 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Statistical Ecology

Author : Linda J. Young
Publisher : Springer Science & Business Media
ISBN 13 : 1475728298
Total Pages : 581 pages
Book Rating : 4.4/5 (757 download)

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Book Synopsis Statistical Ecology by : Linda J. Young

Download or read book Statistical Ecology written by Linda J. Young and published by Springer Science & Business Media. This book was released on 2013-04-17 with total page 581 pages. Available in PDF, EPUB and Kindle. Book excerpt: Covering a wide range of disciplines, this book explains the formulae, techniques, and methods used in field ecology. By providing an awareness of the statistical foundation for existing methods, the book will make biologists more aware of the strengths and possible weaknesses of procedures employed, and statisticians more appreciative of the needs of the field ecologist. Unique to this book is a focus on ecological data for single-species populations, from sampling through modeling. Examples come from real situations in pest management, forestry, wildlife biology, plant protection, and environmental studies, as well as from classical ecology. All those using this book will acquire a strong foundation in the statistical methods of modern ecological research. This textbook is for late undergraduate and graduate students, and for professionals.

Statistics for Ecologists Using R and Excel

Author : Mark Gardener
Publisher : Pelagic Publishing
ISBN 13 : 1907807276
Total Pages : 465 pages
Book Rating : 4.9/5 (78 download)

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Book Synopsis Statistics for Ecologists Using R and Excel by : Mark Gardener

Download or read book Statistics for Ecologists Using R and Excel written by Mark Gardener and published by Pelagic Publishing. This book was released on 2012-01-01 with total page 465 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a book about the scientific process and how we apply it to data in ecology. We will learn how to plan for data collection, how to assemble data, how to analyse data and finally how to present the results. The book uses Microsoft Excel and the powerful Open Source R program to carry out data handling as well as producing graphs. Who this book is for Students of ecology and environmental science will find this book aimed at them although many other scientists will find the text useful as the principles and data analysis are the same in many disciplines. No prior knowledge is assumed and the reader can develop their skills to degree level and beyond. What you will learn from this book How to plan ecological projects How to record and assemble your data How to use Excel for data analysis and graphs How to use R for data analysis and graphs How to carry out a wide range of statistical analyses How to create professional looking graphs How to present your results

Data Analysis in Community and Landscape Ecology

Author : R. H. Jongman
Publisher : Cambridge University Press
ISBN 13 : 0521475740
Total Pages : 325 pages
Book Rating : 4.5/5 (214 download)

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Book Synopsis Data Analysis in Community and Landscape Ecology by : R. H. Jongman

Download or read book Data Analysis in Community and Landscape Ecology written by R. H. Jongman and published by Cambridge University Press. This book was released on 1995-03-02 with total page 325 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ecological data has several special properties: the presence or absence of species on a semi-quantitative abundance scale; non-linear relationships between species and environmental factors; and high inter-correlations among species and among environmental variables. The analysis of such data is important to the interpretation of relationships within plant and animal communities and with their environments. In this corrected version of Data Analysis in Community and Landscape Ecology, without using complex mathematics, the contributors demonstrate the methods that have proven most useful, with examples, exercises and case-studies. Chapters explain in an elementary way powerful data analysis techniques such as logic regression, canonical correspondence analysis, and kriging.

Design and Analysis of Ecological Experiments

Author : Samuel M. Scheiner
Publisher : Oxford University Press
ISBN 13 : 0198030223
Total Pages : 432 pages
Book Rating : 4.1/5 (98 download)

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Book Synopsis Design and Analysis of Ecological Experiments by : Samuel M. Scheiner

Download or read book Design and Analysis of Ecological Experiments written by Samuel M. Scheiner and published by Oxford University Press. This book was released on 2001-04-26 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ecological research and the way that ecologists use statistics continues to change rapidly. This second edition of the best-selling Design and Analysis of Ecological Experiments leads these trends with an update of this now-standard reference book, with a discussion of the latest developments in experimental ecology and statistical practice. The goal of this volume is to encourage the correct use of some of the more well known statistical techniques and to make some of the less well known but potentially very useful techniques available. Chapters from the first edition have been substantially revised and new chapters have been added. Readers are introduced to statistical techniques that may be unfamiliar to many ecologists, including power analysis, logistic regression, randomization tests and empirical Bayesian analysis. In addition, a strong foundation is laid in more established statistical techniques in ecology including exploratory data analysis, spatial statistics, path analysis and meta-analysis. Each technique is presented in the context of resolving an ecological issue. Anyone from graduate students to established research ecologists will find a great deal of new practical and useful information in this current edition.

Statistical Ecology in Practice

Author : Stephen Waite
Publisher : Addison-Wesley Longman Limited
ISBN 13 : 9780582236349
Total Pages : 414 pages
Book Rating : 4.2/5 (363 download)

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Book Synopsis Statistical Ecology in Practice by : Stephen Waite

Download or read book Statistical Ecology in Practice written by Stephen Waite and published by Addison-Wesley Longman Limited. This book was released on 2000-01 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text combines principles of good field ecology research design with practical statistical analysis, suited to the needs of advanced students taking Field Ecology courses or undertaking projects that contribute to their final degree classification.

Statistical Ecology

Author : John A. Ludwig
Publisher :
ISBN 13 : 9780471613152
Total Pages : 337 pages
Book Rating : 4.6/5 (131 download)

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Book Synopsis Statistical Ecology by : John A. Ludwig

Download or read book Statistical Ecology written by John A. Ludwig and published by . This book was released on 1988 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: SUMMARY: An introduction to current statistical topics in community ecology. Presents topics of historical importance (polar ordination); popular topics (diversity indices, including their misuse); powerful statistical tools for analysing ecological patterns (multidimensional scaling). Software contains 21 programs for statistical analysis.

Handbook of Environmental and Ecological Statistics

Author : Alan E. Gelfand
Publisher : CRC Press
ISBN 13 : 1351648543
Total Pages : 679 pages
Book Rating : 4.3/5 (516 download)

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Book Synopsis Handbook of Environmental and Ecological Statistics by : Alan E. Gelfand

Download or read book Handbook of Environmental and Ecological Statistics written by Alan E. Gelfand and published by CRC Press. This book was released on 2019-01-15 with total page 679 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

A Primer of Ecological Statistics

Author : Nicholas J. Gotelli
Publisher : Sinauer
ISBN 13 : 9781605350646
Total Pages : 0 pages
Book Rating : 4.3/5 (56 download)

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Book Synopsis A Primer of Ecological Statistics by : Nicholas J. Gotelli

Download or read book A Primer of Ecological Statistics written by Nicholas J. Gotelli and published by Sinauer. This book was released on 2013-03-14 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Models for Ecological Data

Author : James S. Clark
Publisher : Princeton University Press
ISBN 13 : 0691220123
Total Pages : 634 pages
Book Rating : 4.6/5 (912 download)

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Book Synopsis Models for Ecological Data by : James S. Clark

Download or read book Models for Ecological Data written by James S. Clark and published by Princeton University Press. This book was released on 2020-10-06 with total page 634 pages. Available in PDF, EPUB and Kindle. Book excerpt: The environmental sciences are undergoing a revolution in the use of models and data. Facing ecological data sets of unprecedented size and complexity, environmental scientists are struggling to understand and exploit powerful new statistical tools for making sense of ecological processes. In Models for Ecological Data, James Clark introduces ecologists to these modern methods in modeling and computation. Assuming only basic courses in calculus and statistics, the text introduces readers to basic maximum likelihood and then works up to more advanced topics in Bayesian modeling and computation. Clark covers both classical statistical approaches and powerful new computational tools and describes how complexity can motivate a shift from classical to Bayesian methods. Through an available lab manual, the book introduces readers to the practical work of data modeling and computation in the language R. Based on a successful course at Duke University and National Science Foundation-funded institutes on hierarchical modeling, Models for Ecological Data will enable ecologists and other environmental scientists to develop useful models that make sense of ecological data. Consistent treatment from classical to modern Bayes Underlying distribution theory to algorithm development Many examples and applications Does not assume statistical background Extensive supporting appendixes Lab manual in R is available separately