Ecological Models And Data In R

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Ecological Models and Data in R

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Author by : Benjamin M. Bolker
Languange Used : English, France, Spanish, Italia and chinese
Page : 408
Isbn : 1400840902
Identifier : 9781400840908
Release : 2008-07-01
Publisher by : Princeton University Press
Category : Nature
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Description : Read Now Ecological Models And Data In R by Benjamin M. Bolker and you can download with pub, pdf, txt, doc, and more file format with free account. ecological models and data in r is the first truly practical introduction to modern statistical methods for ecology. in step-by-step detail, the book teaches ecology graduate students and researchers everything they need to know in order to use maximum likelihood, information-theoretic, and bayesian techniques to analyze their own data using the programming language r. drawing on extensive experience teaching these techniques to graduate students in ecology, benjamin bolker shows how to choose among and construct statistical models for data, estimate their parameters and confidence limits, and interpret the results. the book also covers statistical frameworks, the philosophy of statistical modeling, and critical mathematical functions and probability distributions. it requires no programming background--only basic calculus and statistics. practical, beginner-friendly introduction to modern statistical techniques for ecology using the programming language r step-by-step instructions for fitting models to messy, real-world data balanced view of different statistical approaches wide coverage of techniques--from simple (distribution fitting) to complex (state-space modeling) techniques for data manipulation and graphical display companion web site with data and r code for all examples

Ecological Models and Data in R

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Author by : Benjamin M. Bolker
Languange Used : English, France, Spanish, Italia and chinese
Page : 396
Isbn : 0691125228
Identifier : 9780691125220
Release : 2008-07-21
Publisher by : Princeton University Press
Category : Computers
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Description : Read Now Ecological Models And Data In R by Benjamin M. Bolker and you can download with pub, pdf, txt, doc, and more file format with free account. introduction and background; exploratory data analysis and graphics; deterministic functions for ecological modeling; probability and stochastic distributions for ecological modeling; stochatsic simulation and power analysis; likelihood and all that; optimization and all that; likelihood examples; standar statistics revisited; modeling variance; dynamic models.

A Practical Guide to Ecological Modelling Using R as a Simulation Platform

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Author by : Karline Soetaert
Languange Used : English, France, Spanish, Italia and chinese
Page : 372
Isbn : 1402086237
Identifier : 9781402086236
Release : 2008-10-21
Publisher by : Springer Science & Business Media
Category : Science
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Description : Read Now A Practical Guide To Ecological Modelling by Karline Soetaert and you can download with pub, pdf, txt, doc, and more file format with free account. mathematical modelling is an essential tool in present-day ecological research. yet for many ecologists it is still problematic to apply modelling in their research. in our experience, the major problem is at the conceptual level: proper understanding of what a model is, how ecological relations can be translated consistently into mathematical equations, how models are solved, steady states calculated and interpreted. many textbooks jump over these conceptual hurdles to dive into detailed formulations or the mathematics of solution. this book attempts to fill that gap. it introduces essential concepts for mathematical modelling, explains the mathematics behind the methods, and helps readers to implement models and obtain hands-on experience. throughout the book, emphasis is laid on how to translate ecological questions into interpretable models in a practical way. the book aims to be an introductory textbook at the undergraduate-graduate level, but will also be useful to seduce experienced ecologists into the world of modelling. the range of ecological models treated is wide, from lotka-volterra type of principle-seeking models to environmental or ecosystem models, and including matrix models, lattice models and sequential decision models. all chapters contain a concise introduction into the theory, worked-out examples and exercises. all examples are implemented in the open-source package r, thus taking away problems of software availability for use of the book. all code used in the book is available on a dedicated website.

Hierarchical Modeling and Inference in Ecology The Analysis of Data from Populations, Metapopulations and Communities

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Author by : J. Andrew Royle
Languange Used : English, France, Spanish, Italia and chinese
Page : 464
Isbn : 0080559255
Identifier : 9780080559254
Release : 2008-10-15
Publisher by : Elsevier
Category : Science
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Description : Read Now Hierarchical Modeling And Inference In Ecology by J. Andrew Royle and you can download with pub, pdf, txt, doc, and more file format with free account. a guide to data collection, modeling and inference strategies for biological survey data using bayesian and classical statistical methods. this book describes a general and flexible framework for modeling and inference in ecological systems based on hierarchical models, with a strict focus on the use of probability models and parametric inference. hierarchical models represent a paradigm shift in the application of statistics to ecological inference problems because they combine explicit models of ecological system structure or dynamics with models of how ecological systems are observed. the principles of hierarchical modeling are developed and applied to problems in population, metapopulation, community, and metacommunity systems. the book provides the first synthetic treatment of many recent methodological advances in ecological modeling and unifies disparate methods and procedures. the authors apply principles of hierarchical modeling to ecological problems, including * occurrence or occupancy models for estimating species distribution * abundance models based on many sampling protocols, including distance sampling * capture-recapture models with individual effects * spatial capture-recapture models based on camera trapping and related methods * population and metapopulation dynamic models * models of biodiversity, community structure and dynamics * wide variety of examples involving many taxa (birds, amphibians, mammals, insects, plants) * development of classical, likelihood-based procedures for inference, as well as bayesian methods of analysis * detailed explanations describing the implementation of hierarchical models using freely available software such as r and winbugs * computing support in technical appendices in an online companion web site

Mixed Effects Models and Extensions in Ecology with R

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Author by : Alain Zuur
Languange Used : English, France, Spanish, Italia and chinese
Page : 574
Isbn : 9780387874586
Identifier : 0387874585
Release : 2009-03-05
Publisher by : Springer Science & Business Media
Category : Science
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Description : Read Now Mixed Effects Models And Extensions In Ecology With R by Alain Zuur and you can download with pub, pdf, txt, doc, and more file format with free account. this book discusses advanced statistical methods that can be used to analyse ecological data. most environmental collected data are measured repeatedly over time, or space and this requires the use of glmm or gamm methods. the book starts by revising regression, additive modelling, gam and glm, and then discusses dealing with spatial or temporal dependencies and nested data.

Ecological Statistics Contemporary Theory and Application

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Author by : Gordon A. Fox
Languange Used : English, France, Spanish, Italia and chinese
Page : 389
Isbn : 0199672547
Identifier : 9780199672547
Release : 2015
Publisher by : Oxford University Press
Category : Science
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Description : Read Now Ecological Statistics by Gordon A. Fox and you can download with pub, pdf, txt, doc, and more file format with free account. 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.

e-Study Guide for: Ecological Models and Data in R by Benjamin M. Bolker, ISBN 9780691125220

Download E Study Guide For Ecological Models And Data In R By Benjamin M Bolker Isbn 9780691125220 Book or Ebook File with PDF Epub Audio and Full format File

Author by : Cram101 Textbook Reviews
Languange Used : English, France, Spanish, Italia and chinese
Page : 54
Isbn : 1478430540
Identifier : 9781478430544
Release : 2013-01-01
Publisher by : Cram101 Textbook Reviews
Category : Education
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Description : Read Now E Study Guide For Ecological Models And Data In R By Benjamin M Bolker Isbn 9780691125220 by Cram101 Textbook Reviews and you can download with pub, pdf, txt, doc, and more file format with free account. never highlight a book again! just the facts101 study guides give the student the textbook outlines, highlights, practice quizzes and optional access to the full practice tests for their textbook.

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

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Author by : Sarah P. Otto
Languange Used : English, France, Spanish, Italia and chinese
Page : 744
Isbn : 1400840910
Identifier : 9781400840915
Release : 2011-09-19
Publisher by : Princeton University Press
Category : Science
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Description : Read Now A Biologist S Guide To Mathematical Modeling In Ecology And Evolution by Sarah P. Otto and you can download with pub, pdf, txt, doc, and more file format with free account. 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

Statistical Computation for Environmental Sciences in R Lab Manual for Models for Ecological Data

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Author by : James Samuel Clark
Languange Used : English, France, Spanish, Italia and chinese
Page : 142
Isbn : 9780691122625
Identifier : 0691122628
Release : 2007
Publisher by : no defined
Category : Science
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Description : Read Now Statistical Computation For Environmental Sciences In R by James Samuel Clark and you can download with pub, pdf, txt, doc, and more file format with free account. laboratory manual for: models for ecological data.

The Theoretical Biologist's Toolbox Quantitative Methods for Ecology and Evolutionary Biology

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Author by : Marc Mangel
Languange Used : English, France, Spanish, Italia and chinese
Page : 233
Isbn : 1139455869
Identifier : 9781139455862
Release : 2006-07-27
Publisher by : Cambridge University Press
Category : Science
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Description : Read Now The Theoretical Biologist S Toolbox by Marc Mangel and you can download with pub, pdf, txt, doc, and more file format with free account. mathematical modelling is widely used in ecology and evolutionary biology and it is a topic that many biologists find difficult to grasp. in this new textbook marc mangel provides a no-nonsense introduction to the skills needed to understand the principles of theoretical and mathematical biology. fundamental theories and applications are introduced using numerous examples from current biological research, complete with illustrations to highlight key points. exercises are also included throughout the text to show how theory can be applied and to test knowledge gained so far. suitable for advanced undergraduate courses in theoretical and mathematical biology, this book forms an essential resource for anyone wanting to gain an understanding of theoretical ecology and evolution.

Dynamic Models in Biology

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Author by : Stephen P. Ellner
Languange Used : English, France, Spanish, Italia and chinese
Page : 352
Isbn : 1400840961
Identifier : 9781400840960
Release : 2011-09-19
Publisher by : Princeton University Press
Category : Science
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Description : Read Now Dynamic Models In Biology by Stephen P. Ellner and you can download with pub, pdf, txt, doc, and more file format with free account. from controlling disease outbreaks to predicting heart attacks, dynamic models are increasingly crucial for understanding biological processes. many universities are starting undergraduate programs in computational biology to introduce students to this rapidly growing field. in dynamic models in biology, the first text on dynamic models specifically written for undergraduate students in the biological sciences, ecologist stephen ellner and mathematician john guckenheimer teach students how to understand, build, and use dynamic models in biology. developed from a course taught by ellner and guckenheimer at cornell university, the book is organized around biological applications, with mathematics and computing developed through case studies at the molecular, cellular, and population levels. the authors cover both simple analytic models--the sort usually found in mathematical biology texts--and the complex computational models now used by both biologists and mathematicians. linked to a web site with computer-lab materials and exercises, dynamic models in biology is a major new introduction to dynamic models for students in the biological sciences, mathematics, and engineering.

Introduction to WinBUGS for Ecologists Bayesian Approach to Regression, ANOVA, Mixed Models and Related Analyses

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Author by : Marc Kery
Languange Used : English, France, Spanish, Italia and chinese
Page : 320
Isbn : 9780123786067
Identifier : 0123786061
Release : 2010-07-19
Publisher by : Academic Press
Category : Science
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Description : Read Now Introduction To Winbugs For Ecologists by Marc Kery and you can download with pub, pdf, txt, doc, and more file format with free account. introduction to winbugs for ecologists introduces applied bayesian modeling to ecologists using the highly acclaimed, free winbugs software. it offers an understanding of statistical models as abstract representations of the various processes that give rise to a data set. such an understanding is basic to the development of inference models tailored to specific sampling and ecological scenarios. the book begins by presenting the advantages of a bayesian approach to statistics and introducing the winbugs software. it reviews the four most common statistical distributions: the normal, the uniform, the binomial, and the poisson. it describes the two different kinds of analysis of variance (anova): one-way and two- or multiway. it looks at the general linear model, or ancova, in r and winbugs. it introduces generalized linear model (glm), i.e., the extension of the normal linear model to allow error distributions other than the normal. the glm is then extended contain additional sources of random variation to become a generalized linear mixed model (glmm) for a poisson example and for a binomial example. the final two chapters showcase two fairly novel and nonstandard versions of a glmm. the first is the site-occupancy model for species distributions; the second is the binomial (or n-) mixture model for estimation and modeling of abundance. introduction to the essential theories of key models used by ecologists complete juxtaposition of classical analyses in r and bayesian analysis of the same models in winbugs provides every detail of r and winbugs code required to conduct all analyses companion web appendix that contains all code contained in the book and additional material (including more code and solutions to exercises)