Applied Hierarchical Modeling in Ecology: Analysis of distribution, abundance and species richness in R and BUGS (ePub)
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...
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Occupancy Estimation and Modeling
Darryl I. MacKenzie, James D. Nichols, J. Andrew Royle, Kenneth H. Pollock, Larissa Bailey, James E. Hines
91.95 €
Spatial Capture-Recapture
J. Andrew Royle, Richard B. Chandler, Rahel Sollmann, Beth Gardner
97.95 €
Bayesian Population Analysis using WinBUGS
Marc Kéry, Michael Schaub
54.95 €
Introduction to WinBUGS for Ecologists
Marc Kéry
40.95 €
Hierarchical Modeling and Inference in Ecology
J. Andrew Royle, Robert M. Dorazio
64.95 €
Occupancy Estimation and Modeling
Darryl I. MacKenzie, James D. Nichols, J. Andrew Royle, Kenneth H. Pollock, Larissa Bailey, James E. Hines
68.95 €
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
- Autoren: Marc Kéry , J. Andrew Royle
- 2015, 808 Seiten, Englisch
- Verlag: Elsevier Science & Techn.
- ISBN-10: 0128014865
- ISBN-13: 9780128014868
- Erscheinungsdatum: 14.11.2015
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: ePub
- Größe: 19 MB
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