How To Be A Quantitative Ecologist

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How to be a Quantitative Ecologist

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Author : Jason Matthiopoulos
Publisher : John Wiley & Sons
ISBN 13 : 1119991722
Total Pages : 501 pages
Book Rating : 4.1/5 (199 download)

Book Synopsis How to be a Quantitative Ecologist by : Jason Matthiopoulos

Download or read book How to be a Quantitative Ecologist written by Jason Matthiopoulos and published by John Wiley & Sons. This book was released on 2011-04-12 with total page 501 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ecological research is becoming increasingly quantitative, yet students often opt out of courses in mathematics and statistics, unwittingly limiting their ability to carry out research in the future. This textbook provides a practical introduction to quantitative ecology for students and practitioners who have realised that they need this opportunity. The text is addressed to readers who haven't used mathematics since school, who were perhaps more confused than enlightened by their undergraduate lectures in statistics and who have never used a computer for much more than word processing and data entry. From this starting point, it slowly but surely instils an understanding of mathematics, statistics and programming, sufficient for initiating research in ecology. The book’s practical value is enhanced by extensive use of biological examples and the computer language R for graphics, programming and data analysis. Key Features: Provides a complete introduction to mathematics statistics and computing for ecologists. Presents a wealth of ecological examples demonstrating the applied relevance of abstract mathematical concepts, showing how a little technique can go a long way in answering interesting ecological questions. Covers elementary topics, including the rules of algebra, logarithms, geometry, calculus, descriptive statistics, probability, hypothesis testing and linear regression. Explores more advanced topics including fractals, non-linear dynamical systems, likelihood and Bayesian estimation, generalised linear, mixed and additive models, and multivariate statistics. R boxes provide step-by-step recipes for implementing the graphical and numerical techniques outlined in each section. How to be a Quantitative Ecologist provides a comprehensive introduction to mathematics, statistics and computing and is the ideal textbook for late undergraduate and postgraduate courses in environmental biology. "With a book like this, there is no excuse for people to be afraid of maths, and to be ignorant of what it can do." —Professor Tim Benton, Faculty of Biological Sciences, University of Leeds, UK

How to be a Quantitative Ecologist

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Author : Jason Matthiopoulos
Publisher : John Wiley & Sons
ISBN 13 : 0470699795
Total Pages : 501 pages
Book Rating : 4.4/5 (76 download)

Book Synopsis How to be a Quantitative Ecologist by : Jason Matthiopoulos

Download or read book How to be a Quantitative Ecologist written by Jason Matthiopoulos and published by John Wiley & Sons. This book was released on 2011-04-25 with total page 501 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ecological research is becoming increasingly quantitative, yet students often opt out of courses in mathematics and statistics, unwittingly limiting their ability to carry out research in the future. This textbook provides a practical introduction to quantitative ecology for students and practitioners who have realised that they need this opportunity. The text is addressed to readers who haven't used mathematics since school, who were perhaps more confused than enlightened by their undergraduate lectures in statistics and who have never used a computer for much more than word processing and data entry. From this starting point, it slowly but surely instils an understanding of mathematics, statistics and programming, sufficient for initiating research in ecology. The book’s practical value is enhanced by extensive use of biological examples and the computer language R for graphics, programming and data analysis. Key Features: Provides a complete introduction to mathematics statistics and computing for ecologists. Presents a wealth of ecological examples demonstrating the applied relevance of abstract mathematical concepts, showing how a little technique can go a long way in answering interesting ecological questions. Covers elementary topics, including the rules of algebra, logarithms, geometry, calculus, descriptive statistics, probability, hypothesis testing and linear regression. Explores more advanced topics including fractals, non-linear dynamical systems, likelihood and Bayesian estimation, generalised linear, mixed and additive models, and multivariate statistics. R boxes provide step-by-step recipes for implementing the graphical and numerical techniques outlined in each section. How to be a Quantitative Ecologist provides a comprehensive introduction to mathematics, statistics and computing and is the ideal textbook for late undergraduate and postgraduate courses in environmental biology. "With a book like this, there is no excuse for people to be afraid of maths, and to be ignorant of what it can do." —Professor Tim Benton, Faculty of Biological Sciences, University of Leeds, UK

How to be a Quantitative Ecologist

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Author : Jason Matthiopoulos
Publisher : John Wiley & Sons
ISBN 13 : 9780470699782
Total Pages : 0 pages
Book Rating : 4.6/5 (997 download)

Book Synopsis How to be a Quantitative Ecologist by : Jason Matthiopoulos

Download or read book How to be a Quantitative Ecologist written by Jason Matthiopoulos and published by John Wiley & Sons. This book was released on 2011-04-25 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ecological research is becoming increasingly quantitative, yet students often opt out of courses in mathematics and statistics, unwittingly limiting their ability to carry out research in the future. This textbook provides a practical introduction to quantitative ecology for students and practitioners who have realised that they need this opportunity. The text is addressed to readers who haven't used mathematics since school, who were perhaps more confused than enlightened by their undergraduate lectures in statistics and who have never used a computer for much more than word processing and data entry. From this starting point, it slowly but surely instils an understanding of mathematics, statistics and programming, sufficient for initiating research in ecology. The book’s practical value is enhanced by extensive use of biological examples and the computer language R for graphics, programming and data analysis. Key Features: Provides a complete introduction to mathematics statistics and computing for ecologists. Presents a wealth of ecological examples demonstrating the applied relevance of abstract mathematical concepts, showing how a little technique can go a long way in answering interesting ecological questions. Covers elementary topics, including the rules of algebra, logarithms, geometry, calculus, descriptive statistics, probability, hypothesis testing and linear regression. Explores more advanced topics including fractals, non-linear dynamical systems, likelihood and Bayesian estimation, generalised linear, mixed and additive models, and multivariate statistics. R boxes provide step-by-step recipes for implementing the graphical and numerical techniques outlined in each section. How to be a Quantitative Ecologist provides a comprehensive introduction to mathematics, statistics and computing and is the ideal textbook for late undergraduate and postgraduate courses in environmental biology. "With a book like this, there is no excuse for people to be afraid of maths, and to be ignorant of what it can do." —Professor Tim Benton, Faculty of Biological Sciences, University of Leeds, UK

Introduction to Quantitative Ecology

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Author : Timothy E. Essington
Publisher : Oxford University Press
ISBN 13 : 0192655442
Total Pages : 321 pages
Book Rating : 4.1/5 (926 download)

Book Synopsis Introduction to Quantitative Ecology by : Timothy E. Essington

Download or read book Introduction to Quantitative Ecology written by Timothy E. Essington and published by Oxford University Press. This book was released on 2021-09-30 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: Environmental science (ecology, conservation, and resource management) is an increasingly quantitative field. A well-trained ecologist now needs to evaluate evidence generated from complex quantitative methods, and to apply these methods in their own research. Yet the existing books and academic coursework are not adequately serving most of the potential audience - instead they cater to the specialists who wish to focus on either mathematical or statistical aspects, and overwhelmingly appeal to those who already have confidence in their quantitative skills. At the same time, many texts lack an explicit emphasis on the epistemology of quantitative techniques. That is, how do we gain understanding about the real world from models that are so vastly simplified? This accessible textbook introduces quantitative ecology in a manner that aims to confront these limitations and thereby appeal to a far wider audience. It presents material in an informal, approachable, and encouraging manner that welcomes readers with any degree of confidence and prior training. It covers foundational topics in both mathematical and statistical ecology before describing how to implement these concepts to choose, use, and analyse models, providing guidance and worked examples in both spreadsheet format and R. The emphasis throughout is on the skilful interpretation of models to answer questions about the natural world. Introduction to Quantitative Ecology is suitable for advanced undergraduate students and incoming graduate students, seeking to strengthen their understanding of quantitative methods and to apply them successfully to real world ecology, conservation, and resource management scenarios.

Handbook of Quantitative Ecology

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Author : Justin Kitzes
Publisher : University of Chicago Press
ISBN 13 : 0226818330
Total Pages : 174 pages
Book Rating : 4.2/5 (268 download)

Book Synopsis Handbook of Quantitative Ecology by : Justin Kitzes

Download or read book Handbook of Quantitative Ecology written by Justin Kitzes and published by University of Chicago Press. This book was released on 2022-08-16 with total page 174 pages. Available in PDF, EPUB and Kindle. Book excerpt: An essential guide to quantitative research methods in ecology and conservation biology, accessible for even the most math-averse student or professional. Quantitative research techniques have become increasingly important in ecology and conservation biology, but the sheer breadth of methods that must be understood—from population modeling and probabilistic thinking to modern statistics, simulation, and data science—and a lack of computational or mathematics training have hindered quantitative literacy in these fields. In this book, ecologist Justin Kitzes addresses those challenges for students and practicing scientists alike. Requiring only basic algebra and the ability to use a spreadsheet, Handbook of Quantitative Ecology is designed to provide a practical, intuitive, and integrated introduction to widely used quantitative methods. Kitzes builds each chapter around a specific ecological problem and arrives, step by step, at a general principle through the process of solving that problem. Grouped into five broad categories—difference equations, probability, matrix models, likelihood statistics, and other numerical methods—the book introduces basic concepts, starting with exponential and logistic growth, and helps readers to understand the field’s more advanced subjects, such as bootstrapping, stochastic optimization, and cellular automata. Complete with online solutions to all numerical problems, Kitzes’s Handbook of Quantitative Ecology is an ideal coursebook for both undergraduate and graduate students of ecology, as well as a useful and necessary resource for mathematically out-of-practice scientists.

Quantitative Ecology

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Author : David C. Schneider
Publisher : Academic Press
ISBN 13 : 9780080925646
Total Pages : 432 pages
Book Rating : 4.9/5 (256 download)

Book Synopsis Quantitative Ecology by : David C. Schneider

Download or read book Quantitative Ecology written by David C. Schneider and published by Academic Press. This book was released on 2009-07-20 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: A follow-up to the highly successful first edition, this book reviews the manifold ways that scale influences the interpretation of ecological variation. As scale, magnitude, quantity, and measurement occupy an expanding role in ecology, this 2e will be an indispensable addition to individual and institutional libraries. In providing a context for resolution of ecological problems, ecologists will appreciate the significance of scale and magnitude addressed in this book. Written for advanced undergraduates, graduate students, and faculty researchers, this book synthesizes a burgeoning literature on the influences of scale. * Expanded by numerous explanatory figures and wide coverage of material * Topic is of crucial importance to ecologists * The most thorough, complete coverage available on quantitative ecology in the market

A Biologist's Guide to Mathematical Modeling in Ecology and Evolution

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Author : Sarah P. Otto
Publisher : Princeton University Press
ISBN 13 : 1400840910
Total Pages : 745 pages
Book Rating : 4.4/5 (8 download)

Book Synopsis A Biologist's Guide to Mathematical Modeling in Ecology and Evolution by : Sarah P. Otto

Download or read book A Biologist's Guide to Mathematical Modeling in Ecology and Evolution written by Sarah P. Otto and published by Princeton University Press. This book was released on 2011-09-19 with total page 745 pages. Available in PDF, EPUB and Kindle. Book excerpt: Thirty years ago, biologists could get by with a rudimentary grasp of mathematics and modeling. Not so today. In seeking to answer fundamental questions about how biological systems function and change over time, the modern biologist is as likely to rely on sophisticated mathematical and computer-based models as traditional fieldwork. In this book, Sarah Otto and Troy Day provide biology students with the tools necessary to both interpret models and to build their own. The book starts at an elementary level of mathematical modeling, assuming that the reader has had high school mathematics and first-year calculus. Otto and Day then gradually build in depth and complexity, from classic models in ecology and evolution to more intricate class-structured and probabilistic models. The authors provide primers with instructive exercises to introduce readers to the more advanced subjects of linear algebra and probability theory. Through examples, they describe how models have been used to understand such topics as the spread of HIV, chaos, the age structure of a country, speciation, and extinction. Ecologists and evolutionary biologists today need enough mathematical training to be able to assess the power and limits of biological models and to develop theories and models themselves. This innovative book will be an indispensable guide to the world of mathematical models for the next generation of biologists. A how-to guide for developing new mathematical models in biology Provides step-by-step recipes for constructing and analyzing models Interesting biological applications Explores classical models in ecology and evolution Questions at the end of every chapter Primers cover important mathematical topics Exercises with answers Appendixes summarize useful rules Labs and advanced material available

Elements of Mathematical Ecology

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Author : Mark Kot
Publisher : Cambridge University Press
ISBN 13 : 9780521001502
Total Pages : 468 pages
Book Rating : 4.0/5 (15 download)

Book Synopsis Elements of Mathematical Ecology by : Mark Kot

Download or read book Elements of Mathematical Ecology written by Mark Kot and published by Cambridge University Press. This book was released on 2001-07-19 with total page 468 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introduction to classical and modern mathematical models, methods, and issues in population ecology.

Quantitative Conservation Biology

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Author : William F. Morris
Publisher : Sinauer Associates Incorporated
ISBN 13 : 9780878935468
Total Pages : 480 pages
Book Rating : 4.9/5 (354 download)

Book Synopsis Quantitative Conservation Biology by : William F. Morris

Download or read book Quantitative Conservation Biology written by William F. Morris and published by Sinauer Associates Incorporated. This book was released on 2002-01-01 with total page 480 pages. Available in PDF, EPUB and Kindle. Book excerpt: The goal of this book is to provide practical, intelligible, and intuitive explanations of population modelling to empirical ecologists and conservation biologists. Modelling methods that do not require large amounts of data (typically unavailable for endangered species) are emphasised. As such, the book is appropriate for undergraduate and graduate students interested in quantitative conservation biology, managers charged with preserving endangered species, and, in short, for any conservation biologist or ecologist seeking to better understand the analysis and modelling of population data.

Analyzing Ecological Data

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

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.

Models for Ecological Data

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

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

Eco-Stats: Data Analysis in Ecology

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

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.

Quantitative Analysis of Movement

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Author : Peter Turchin
Publisher : Sinauer Associates Incorporated
ISBN 13 : 9780878938476
Total Pages : 396 pages
Book Rating : 4.9/5 (384 download)

Book Synopsis Quantitative Analysis of Movement by : Peter Turchin

Download or read book Quantitative Analysis of Movement written by Peter Turchin and published by Sinauer Associates Incorporated. This book was released on 1998-01-01 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the last two decades it has become increasingly clear that the spatial dimension is a critically important aspect of ecological dynamics. Ecologists are currently investing an enormous amount of effort in quantifying movement patterns of organisms. Connecting these data to general issues in metapopulation biology and landscape ecology, as well as to applied questions in conservation and natural resource management, however, has proved to be a non-trivial task. This book presents a systematic exposition of quantitative methods for analyzing and modeling movements of organisms in the field. Quantitative Analysis of Movement is intended for graduate students and researchers interested in spatial ecology, including applications to conservation, pest control, and fisheries. Models are a key ingredient in the analytical approaches developed in the book; however, the primary focus is not on mathematical methods, but on connections between models and data. The methodological approaches discussed in the book will be useful to ecologists working with all taxonomic groups. Case studies have been selected from a wide variety of organisms, including plants (seed dispersal, spatial spread of clonal plants), insects, and vertebrates (primarily, fish, birds, and mammals).

Numerical Ecology

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Author : P. Legendre
Publisher : Elsevier
ISBN 13 : 008052317X
Total Pages : 870 pages
Book Rating : 4.0/5 (85 download)

Book Synopsis Numerical Ecology by : P. Legendre

Download or read book Numerical Ecology written by P. Legendre and published by Elsevier. This book was released on 1998-11-25 with total page 870 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book describes and discusses the numerical methods which are successfully being used for analysing ecological data, using a clear and comprehensive approach. These methods are derived from the fields of mathematical physics, parametric and nonparametric statistics, information theory, numerical taxonomy, archaeology, psychometry, sociometry, econometry and others. Compared to the first edition of Numerical Ecology, this second edition includes three new chapters, dealing with the analysis of semiquantitative data, canonical analysis and spatial analysis. New sections have been added to almost all other chapters. There are sections listing available computer programs and packages at the end of several chapters. As in the previous English and French editions, there are numerous examples from the ecological literature, and the choice of methods is facilitated by several synoptic tables.

Statistics for Ecologists Using R and Excel

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Author : Mark Gardener
Publisher : Pelagic Publishing Ltd
ISBN 13 : 1784271411
Total Pages : 503 pages
Book Rating : 4.7/5 (842 download)

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 Ltd. This book was released on 2017-01-16 with total page 503 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a book about the scientific process and how you apply it to data in ecology. You will learn how to plan for data collection, how to assemble data, how to analyze 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. Statistical approaches covered include: data exploration; tests for difference – t-test and U-test; correlation – Spearman’s rank test and Pearson product-moment; association including Chi-squared tests and goodness of fit; multivariate testing using analysis of variance (ANOVA) and Kruskal–Wallis test; and multiple regression. Key skills taught in this book include: how to plan ecological projects; how to record and assemble your data; how to use R and Excel for data analysis and graphs; how to carry out a wide range of statistical analyses including analysis of variance and regression; how to create professional looking graphs; and how to present your results. New in this edition: a completely revised chapter on graphics including graph types and their uses, Excel Chart Tools, R graphics commands and producing different chart types in Excel and in R; an expanded range of support material online, including; example data, exercises and additional notes & explanations; a new chapter on basic community statistics, biodiversity and similarity; chapter summaries and end-of-chapter exercises. Praise for the first edition: This book is a superb way in for all those looking at how to design investigations and collect data to support their findings. – Sue Townsend, Biodiversity Learning Manager, Field Studies Council [M]akes it easy for the reader to synthesise R and Excel and there is extra help and sample data available on the free companion webpage if needed. I recommended this text to the university library as well as to colleagues at my student workshops on R. Although I initially bought this book when I wanted to discover R I actually also learned new techniques for data manipulation and management in Excel – Mark Edwards, EcoBlogging A must for anyone getting to grips with data analysis using R and excel. – Amazon 5-star review It has been very easy to follow and will be perfect for anyone. – Amazon 5-star review A solid introduction to working with Excel and R. The writing is clear and informative, the book provides plenty of examples and figures so that each string of code in R or step in Excel is understood by the reader. – Goodreads, 4-star review

Statistical Ecology

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

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.

Spatial Analysis

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Author : Marie-Josée Fortin
Publisher : Cambridge University Press
ISBN 13 : 9780521804349
Total Pages : 386 pages
Book Rating : 4.8/5 (43 download)

Book Synopsis Spatial Analysis by : Marie-Josée Fortin

Download or read book Spatial Analysis written by Marie-Josée Fortin and published by Cambridge University Press. This book was released on 2005-04-21 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt: An overview of the wide range of spatial statistics available to analyse ecological data.