Analyzing Ecological Data

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Author: Alain Zuur,Elena N. Ieno,Graham M. Smith

Publisher: Springer

ISBN: 0387459723

Category: Science

Page: 672

View: 3777

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.

Multivariate Analysis of Ecological Data Using CANOCO

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Author: Jan Lepš,Petr Šmilauer

Publisher: Cambridge University Press

ISBN: 9780521891080

Category: Mathematics

Page: 269

View: 3769

This book is primarily written for ecologists needing to analyse data resulting from field observations and experiments. It will be particularly useful for students and researchers dealing with complex ecological problems, such as the variation of biotic communities with environmental conditions or the response of biotic communities to experimental manipulation. Following a simple introduction to ordination methods, the text focuses on constrained ordination methods (RDA, CCA) and the use of permutation tests on statistical hypotheses of multivariate data. An overview of classification methods, or modern regression methods (GLM, GAM, loess), is provided and guidance on the correct interpretation of ordination diagrams is given. Seven case studies of varying difficulty help to illustrate the suggested analytical methods, using the Canoco for Windows software. The case studies utilise both the descriptive and manipulative approaches, and they are supported by data sets and project files available from the book website.

Ecological Time Series

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Author: Thomas M. Powell,John H. Steele

Publisher: Springer Science & Business Media

ISBN: 9780412052019

Category: Science

Page: 491

View: 4583

This pioneering volume explores time series analysis and interpretation using a wide range of methods and examples from terrestrial, marine, and freshwater ecology. The book challenges readers to discern interdisciplinary processes that can unify fields as diverse as climatology and epidemiology. The first section of the book explores the basic concepts of environmental analysis, reviews state-of-the-art techniques and methodologies, and offers innovative solutions to analytical problems of longer time series with special attention to climate change, providing the reader with the conceptual and methodological tools to analyze environmental data accurately. The second section examines a variety of time scales used to describe change, and the variability within and between different ecosystems, so that diverse systems may be studied in an integrated way. The final section of the book illustrates key concepts and themes, based on the results of major investigations in various time scales, including studies from arctic sites to human epidemiology. Investigating time series in the context of ecological functions such as population processes, community structure, and patch dynamics, this insightful volume will stimulate cross fertilization among the ecological disciplines. The broad spectrum of ideas and applications examined in this volume makes it a useful resource for all ecologists.

Developments in Numerical Ecology

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Author: Pierre Legendre,Louis Legendre

Publisher: Springer Science & Business Media

ISBN: 3642708803

Category: Science

Page: 585

View: 9329

From earlier ecological studies it has become apparent that simple univariate or bivariate statistics are often inappropriate, and that multivariate statistical analyses must be applied. Despite several difficulties arising from the application of multivariate methods, community ecology has acquired a mathematical framework, with three consequences: it can develop as an exact science; it can be applied operationally as a computer-assisted science to the solution of environmental problems; and it can exchange information with other disciplines using the language of mathematics. This book comprises the invited lectures, as well as working group reports, on the NATO workshop held in Roscoff (France) to improve the applicability of this new method numerical ecology to specific ecological problems.

Spatial Data Analysis in Ecology and Agriculture Using R

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Author: Richard E. Plant

Publisher: CRC Press

ISBN: 1439819149

Category: Mathematics

Page: 648

View: 878

Assuming no prior knowledge of R, Spatial Data Analysis in Ecology and Agriculture Using R provides practical instruction on the use of the R programming language to analyze spatial data arising from research in ecology and agriculture. Written in terms of four data sets easily accessible online, this book guides the reader through the analysis of each data set, including setting research objectives, designing the sampling plan, data quality control, exploratory and confirmatory data analysis, and drawing scientific conclusions. Based on the author’s spatial data analysis course at the University of California, Davis, the book is intended for classroom use or self-study by graduate students and researchers in ecology, geography, and agricultural science with an interest in the analysis of spatial data.

Spatial Data Analysis in Ecology and Agriculture Using R, Second Edition

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Author: Richard E. Plant

Publisher: CRC Press

ISBN: 1351189905

Category: Technology & Engineering

Page: 666

View: 4667

Key features: Unique in its combination of serving as an introduction to spatial statistics and to modeling agricultural and ecological data using R Provides exercises in each chapter to facilitate the book's use as a course textbook or for self-study Adds new material on generalized additive models, point pattern analysis, and new methods of Bayesian analysis of spatial data. Includes a completely revised chapter on the analysis of spatiotemporal data featuring recently introduced software and methods Updates its coverage of R software including newly introduced packages Spatial Data Analysis in Ecology and Agriculture Using R, 2nd Edition provides practical instruction on the use of the R programming language to analyze spatial data arising from research in ecology, agriculture, and environmental science. Readers have praised the book's practical coverage of spatial statistics, real-world examples, and user-friendly approach in presenting and explaining R code, aspects maintained in this update. Using data sets from cultivated and uncultivated ecosystems, the book guides the reader through the analysis of each data set, including setting research objectives, designing the sampling plan, data quality control, exploratory and confirmatory data analysis, and drawing scientific conclusions. Additional material to accompany the book, on both analyzing satellite data and on multivariate analysis, can be accessed at https://www.plantsciences.ucdavis.edu/plant/additionaltopics.htm.

Advanced Metaheuristic Methods in Big Data Retrieval and Analytics

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Author: Bouarara, Hadj Ahmed,Hamou, Reda Mohamed,Rahmani, Amine

Publisher: IGI Global

ISBN: 1522573399

Category: Computers

Page: 320

View: 4998

The amount of data shared and stored on the web and other document repositories is steadily on the rise. Unfortunately, this growth increases inefficiencies and difficulties when trying to find the most relevant and up-to-date information due to unstructured data. Advanced Metaheuristic Methods in Big Data Retrieval and Analytics examines metaheuristic techniques as an important alternative model for solving complex problems that are not treatable by deterministic methods. Recent studies suggest that IR and biomimicry can be used together for several application problems in big data and internet of things, especially when conventional methods would be too expensive or difficult to implement. Featuring coverage on a broad range of topics such as ontology, plagiarism detection, and machine learning, this book is ideally designed for engineers, graduate students, IT professionals, and academicians seeking an overview of new trends in information retrieval in big data.

Ecological Statistics

Contemporary theory and application

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Author: Gordon A. Fox,Simoneta Negrete-Yankelevich,Vinicio J. Sosa

Publisher: OUP Oxford

ISBN: 0191652881

Category: Science

Page: 400

View: 3103

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.

Monitoring Animal Populations and Their Habitats

A Practitioner's Guide

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Author: Brenda McComb,Benjamin Zuckerberg,David Vesely,Christopher Jordan

Publisher: CRC Press

ISBN: 9781420070583

Category: Science

Page: 298

View: 9518

In the face of so many unprecedented changes in our environment, the pressure is on scientists to lead the way toward a more sustainable future. Written by a team of ecologists, Monitoring Animal Populations and Their Habitats: A Practitioner’s Guide provides a framework that natural resource managers and researchers can use to design monitoring programs that will benefit future generations by distilling the information needed to make informed decisions. In addition, this text is valuable for undergraduate- and graduate-level courses that are focused on monitoring animal populations. With the aid of more than 90 illustrations and a four-page color insert, this book offers practical guidance for the entire monitoring process, from incorporating stakeholder input and data collection, to data management, analysis, and reporting. It establishes the basis for why, what, how, where, and when monitoring should be conducted; describes how to analyze and interpret the data; explains how to budget for monitoring efforts; and discusses how to assemble reports of use in decision-making. The book takes a multi-scaled and multi-taxa approach, focusing on monitoring vertebrate populations and upland habitats, but the recommendations and suggestions presented are applicable to a variety of monitoring programs. Lastly, the book explores the future of monitoring techniques, enabling researchers to better plan for the future of wildlife populations and their habitats. Monitoring Animal Populations and Their Habitats: A Practitioner’s Guide furthers the goal of achieving a world in which biodiversity is allowed to evolve and flourish in the face of such uncertainties as climate change, invasive species proliferation, land use expansion, and population growth.

Numerical ecology

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Author: Louis Legendre,Pierre Legendre

Publisher: Elsevier Science Ltd

ISBN: N.A

Category: Science

Page: 419

View: 3507