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  • Applied Hierarchical Modeling in Ecology: Analysis of Distribution, Abundance and Species Richness in R and Bugs: Volume 2: Dynamic and Advanced Model by K book cover
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Applied Hierarchical Modeling in Ecology: Analysis of Distribution, Abundance and Species Richness in R and Bugs: Volume 2: Dynamic and Advanced Model

by K

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Advanced hierarchical models for ecological data

$151.35 USD
$151.35 USD $151.35 USD

Hardcover New English

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AlbakiReads Editorial

Advanced hierarchical models for ecological data

The second volume of this ecology methods reference centers on dynamic and advanced hierarchical models for studying plant and animal distribution, abundance, and species richness. It frames hierarchical modeling as a unified research approach, connecting study design and data collection with subsequent analysis. Coverage is oriented toward the more complex models available for synthesizing ecological data, with R and BUGS named in the title as the computational settings. At 820 pages, it is positioned as an extensive technical resource for working through advanced modeling procedures rather than a general introduction to ecology.

Good fit for readers who enjoy

  • Ecologists studying species distribution, abundance, or richness
  • Researchers using R and BUGS for hierarchical ecological models
  • Graduate-level learners seeking advanced quantitative ecology methods

Themes

Hierarchical modelingEcological data analysisSpecies distributionAbundance and species richnessResearch design and data collection

Based on publisher information and book metadata.

Book overview

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.
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