Applied Hierarchical Modeling In Ecology: Analysis Of Distribution, Abundance And Species Richness In R And Bugs

Volume 1:Prelude And Static Models

de Marc Kery e J. Andrew Royle 

eBook
Bertrand.pt - Applied Hierarchical Modeling In Ecology: Analysis Of Distribution, Abundance And Species Richness In R And Bugs
idioma: Inglês
Editor: ELSEVIER SCIENCE
Edição: novembro de 2015
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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: Analysis Of Distribution, Abundance And Species Richness In R And Bugs
Volume 1:Prelude And Static Models
de Marc Kery e J. Andrew Royle 
ISBN:
9780128014868
Ano de edição:
11-2015
Editor:
ELSEVIER SCIENCE
Idioma:
Inglês
Tipo de Produto:
eBook
Formato:
ePUB para ADE i
EAN:
9780128014868
Acessibilidade:
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