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Showing 1 - 6 of 6 matches in All Departments
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.
Occupancy Estimation and Modeling is the first book to examine the
latest methods in analyzing presence/absence data surveys. Using
four classes of models (single-species, single-season;
single-species, multiple season; multiple-species, single-season;
and multiple-species, multiple-season), the authors discuss the
practical sampling situation, present a likelihood-based model
enabling direct estimation of the occupancy-related parameters
while allowing for imperfect detectability, and make
recommendations for designing studies using these models.
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.
A guide to data collection, modeling and inference strategies for
biological survey data using Bayesian and classical statistical
methods.
"Spatial Capture-Recapture" provides a comprehensive how-to
manual with detailed examples of spatial capture-recapture models
based on current technology and knowledge. "Spatial
Capture-Recapture" provides you with an extensive step-by-step
analysis of many data sets using different software
implementations. The authors' approach is practical it embraces
Bayesian and classical inference strategies to give the reader
different options to get the job done. In addition, "Spatial
Capture-Recapture" provides data sets, sample code and computing
scripts in anR package.
Occupancy Estimation and Modeling: Inferring Patterns and Dynamics of Species Occurrence, Second Edition, provides a synthesis of model-based approaches for analyzing presence-absence data, allowing for imperfect detection. Beginning from the relatively simple case of estimating the proportion of area or sampling units occupied at the time of surveying, the authors describe a wide variety of extensions that have been developed since the early 2000s. This provides an improved insight about species and community ecology, including, detection heterogeneity; correlated detections; spatial autocorrelation; multiple states or classes of occupancy; changes in occupancy over time; species co-occurrence; community-level modeling, and more. Occupancy Estimation and Modeling: Inferring Patterns and Dynamics of Species Occurrence, Second Edition has been greatly expanded and detail is provided regarding the estimation methods and examples of their application are given. Important study design recommendations are also covered to give a well rounded view of modeling.
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