Applied Hierarchical Modeling in Ecology: Analysis of Distribution, Abundance and Species Richness in R and BUGS - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Applied Hierarchical Modeling in Ecology: Analysis of Distribution, Abundance and Species Richness in R and BUGS write by Marc Kery. This book was released on 2020-10-10. Applied Hierarchical Modeling in Ecology: Analysis of Distribution, Abundance and Species Richness in R and BUGS available in PDF, EPUB and Kindle. Applied Hierarchical Modeling in Ecology: Analysis of Distribution, Abundance and Species Richness in R and BUGS, Volume Two: Dynamic and Advanced Models provides a synthesis of the state-of-the-art in hierarchical models for plant and animal distribution, also focusing on the complex and more advanced models currently available. The book explains all procedures in the context of hierarchical models that represent a unified approach to ecological research, thus taking the reader from design, through data collection, and into analyses using a very powerful way of synthesizing data. Makes ecological modeling accessible to people who are struggling to use complex or advanced modeling programs Synthesizes current ecological models and explains how they are inter-connected Contains numerous examples throughout the book, walking the reading through scenarios with both real and simulated data Provides an ideal resource for ecologists working in R software and in BUGS software for more flexible Bayesian analyses
Applied Hierarchical Modeling in Ecology: Analysis of distribution, abundance and species richness in R and BUGS
Applied Hierarchical Modeling in Ecology: Analysis of distribution, abundance and species richness in R and BUGS - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Applied Hierarchical Modeling in Ecology: Analysis of distribution, abundance and species richness in R and BUGS write by Marc Kéry. This book was released on 2015-11-14. Applied Hierarchical Modeling in Ecology: Analysis of distribution, abundance and species richness in R and BUGS available in PDF, EPUB and Kindle. Applied Hierarchical Modeling in Ecology: Distribution, Abundance, Species Richness offers a new synthesis of the state-of-the-art of hierarchical models for plant and animal distribution, abundance, and community characteristics such as species richness using data collected in metapopulation designs. These types of data are extremely widespread in ecology and its applications in such areas as biodiversity monitoring and fisheries and wildlife management. This first volume explains static models/procedures in the context of hierarchical models that collectively represent a unified approach to ecological research, taking the reader from design, through data collection, and into analyses using a very powerful class of models. Applied Hierarchical Modeling in Ecology, Volume 1 serves as an indispensable manual for practicing field biologists, and as a graduate-level text for students in ecology, conservation biology, fisheries/wildlife management, and related fields. Provides a synthesis of important classes of models about distribution, abundance, and species richness while accommodating imperfect detection Presents models and methods for identifying unmarked individuals and species Written in a step-by-step approach accessible to non-statisticians and provides fully worked examples that serve as a template for readers' analyses Includes companion website containing data sets, code, solutions to exercises, and further information
Applied Hierarchical Modeling in Ecology
Applied Hierarchical Modeling in Ecology - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Applied Hierarchical Modeling in Ecology write by Manuel Marton Marc Kéry. This book was released on 2016. Applied Hierarchical Modeling in Ecology available in PDF, EPUB and Kindle.
Hierarchical Modeling and Inference in Ecology
Hierarchical Modeling and Inference in Ecology - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Hierarchical Modeling and Inference in Ecology write by J. Andrew Royle. This book was released on 2008-10-15. Hierarchical Modeling and Inference in Ecology available in PDF, EPUB and Kindle. 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
Bayesian Population Analysis Using WinBUGS
Bayesian Population Analysis Using WinBUGS - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Bayesian Population Analysis Using WinBUGS write by Marc Kéry. This book was released on 2012. Bayesian Population Analysis Using WinBUGS available in PDF, EPUB and Kindle. Bayesian statistics has exploded into biology and its sub-disciplines, such as ecology, over the past decade. The free software program WinBUGS, and its open-source sister OpenBugs, is currently the only flexible and general-purpose program available with which the average ecologist can conduct standard and non-standard Bayesian statistics. Comprehensive and richly commented examples illustrate a wide range of models that are most relevant to the research of a modern population ecologist All WinBUGS/OpenBUGS analyses are completely integrated in software R Includes complete documentation of all R and WinBUGS code required to conduct analyses and shows all the necessary steps from having the data in a text file out of Excel to interpreting and processing the output from WinBUGS in R
