a primer of ecology with r use r

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A Primer Of Ecology With R

Author : M. Henry Stevens
ISBN : 9780387898827
Genre : Science
File Size : 28. 1 MB
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Provides simple explanations of the important concepts in population and community ecology. Provides R code throughout, to illustrate model development and analysis, as well as appendix introducing the R language. Interweaves ecological content and code so that either stands alone. Supplemental web site for additional code.

A Primer Of Ecological Statistics

Author : Nicholas J. Gotelli
ISBN : 1605350648
Genre : Science
File Size : 62. 4 MB
Format : PDF, ePub, Mobi
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This book takes a broad-based approach that emphasizes the historical, cultural, political, religious, social, and economic factors that underlie an understanding of both global and domestic terrorism. This unique text-reader combines original essays with the best of the existing literature on terrorism. Each chapter of this text begins with an overview essay written by the authors, followed by two relevant and engaging articles culled from a wide variety of popular, academic, and governmental sources. This is the only major terrorism text to incorporate readings from top terrorism experts into a traditional textbook format, allowing readers to deepen their understanding of each aspect of terrorism.

A Primer In Biological Data Analysis And Visualization Using R

Author : Gregg Hartvigsen
ISBN : 9780231537049
Genre : Science
File Size : 57. 50 MB
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R is a popular programming language that statisticians use to perform a variety of statistical computing tasks. Rooted in Gregg Hartvigsen's extensive experience teaching biology, this text is an engaging, practical, and lab-oriented introduction to R for students in the life sciences. Underscoring the importance of R and RStudio to the organization, computation, and visualization of biological statistics and data, Hartvigsen guides readers through the processes of entering data into R, working with data in R, and using R to express data in histograms, boxplots, barplots, scatterplots, before/after line plots, pie charts, and graphs. He covers data normality, outliers, and nonnormal data and examines frequently used statistical tests with one value and one sample; paired samples; more than two samples across a single factor; correlation; and linear regression. The volume also includes a section on advanced procedures and a final chapter on possible extensions into programming, featuring a discussion of algorithms, the art of looping, and combining programming and output.

A Primer On Environmental Policy Design

Author : R. Hahn
ISBN : 9781136470615
Genre : Business & Economics
File Size : 51. 34 MB
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Discusses how the needs of the individual must be balanced with socially desirable ecological goals if the environment is to be protected.

A Primer Of Ecology

Author : Nicholas J. Gotelli
ISBN : 0878932739
Genre : Nature
File Size : 51. 22 MB
Format : PDF
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Exponential population growth. Logistic population growth.Age-structured population growth. Metapopulation dynamics. Competition. Predation. Island biogeography. Succession.

The Interpretation Of Ecological Data

Author : E. C. Pielou
ISBN : 0471889504
Genre : Science
File Size : 72. 54 MB
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Classification by clustering; Transforming data matrices; Ordination; Divisive classification; Discriminant ordination.

Functional And Phylogenetic Ecology In R

Author : Nathan G. Swenson
ISBN : 9781461495420
Genre : Computers
File Size : 27. 36 MB
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Functional and Phylogenetic Ecology in R is designed to teach readers to use R for phylogenetic and functional trait analyses. Over the past decade, a dizzying array of tools and methods were generated to incorporate phylogenetic and functional information into traditional ecological analyses. Increasingly these tools are implemented in R, thus greatly expanding their impact. Researchers getting started in R can use this volume as a step-by-step entryway into phylogenetic and functional analyses for ecology in R. More advanced users will be able to use this volume as a quick reference to understand particular analyses. The volume begins with an introduction to the R environment and handling relevant data in R. Chapters then cover phylogenetic and functional metrics of biodiversity; null modeling and randomizations for phylogenetic and functional trait analyses; integrating phylogenetic and functional trait information; and interfacing the R environment with a popular C-based program. This book presents a unique approach through its focus on ecological analyses and not macroevolutionary analyses. The author provides his own code, so that the reader is guided through the computational steps to calculate the desired metrics. This guided approach simplifies the work of determining which package to use for any given analysis. Example datasets are shared to help readers practice, and readers can then quickly turn to their own datasets.

Bayesian Data Analysis In Ecology Using Linear Models With R Bugs And Stan

Author : Franzi Korner-Nievergelt
ISBN : 9780128016787
Genre : Science
File Size : 46. 37 MB
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Bayesian Data Analysis in Ecology Using Linear Models with R, BUGS, and STAN examines the Bayesian and frequentist methods of conducting data analyses. The book provides the theoretical background in an easy-to-understand approach, encouraging readers to examine the processes that generated their data. Including discussions of model selection, model checking, and multi-model inference, the book also uses effect plots that allow a natural interpretation of data. Bayesian Data Analysis in Ecology Using Linear Models with R, BUGS, and STAN introduces Bayesian software, using R for the simple modes, and flexible Bayesian software (BUGS and Stan) for the more complicated ones. Guiding the ready from easy toward more complex (real) data analyses ina step-by-step manner, the book presents problems and solutions—including all R codes—that are most often applicable to other data and questions, making it an invaluable resource for analyzing a variety of data types. Introduces Bayesian data analysis, allowing users to obtain uncertainty measurements easily for any derived parameter of interest Written in a step-by-step approach that allows for eased understanding by non-statisticians Includes a companion website containing R-code to help users conduct Bayesian data analyses on their own data All example data as well as additional functions are provided in the R-package blmeco

Statistical Ecology

Author : John A. Ludwig
ISBN : 0471832359
Genre : Science
File Size : 74. 72 MB
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Ecological community data. Spatial pattern analysis. Species-abundance relations. Species affinity. Community classification. Community ordination. Community interpretation.

Methods In Comparative Plant Population Ecology

Author : David Gibson
ISBN : 9780191651236
Genre : Science
File Size : 69. 40 MB
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The field of plant population ecology has advanced considerably in the last decade since the first edition was published. In particular there have been substantial and ongoing advances in statistics and modelling applications in population ecology, as well as an explosion of new techniques reflecting the availability of new technologies (e.g. affordable and accurate Global Positioning Systems) and advances in molecular biology. This new edition has been updated and revised with more recent examples replacing older ones where appropriate. The book's trademark question-driven approach has been maintained and some important topics such as the metapopulation concept which are missing entirely from the current edition are now included throughout the text.

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