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Integrated Population Models eBook

Theory And Ecological Applications With R And Jags

by Michael Schaub e Marc Kery
language: english
Publisher: ELSEVIER SCIENCE, November of 2021 ‧
127,13€
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Integrated Population Models: Theory and Ecological Applications with R and JAGS is the first book on integrated population models, which constitute a powerful framework for combining multiple data sets from the population and the individual levels to estimate demographic parameters, and population size and trends. These models identify drivers of population dynamics and forecast the composition and trajectory of a population.Written by two population ecologists with expertise on integrated population modeling, this book provides a comprehensive synthesis of the relevant theory of integrated population models with an extensive overview ofpractical applications, using Bayesian methods by means of case studies. The book contains fully-documented, complete code for fitting all models in the free software, R and JAGS. It also includes all required code for pre- and post-model-fitting analysis.Integrated Population Models is an invaluable reference for researchers and practitioners involved in population analysis, and for graduate-level students in ecology, conservation biology, wildlife management, and related fields.The text is ideal for self-study and advanced graduate-level courses.- Offers practical and accessible ecological applications of IPMs (integrated population models)- Provides full documentation of analyzed code in the Bayesian framework- Written and structured for an easy approach to the subject, especially for non-statisticians

Integrated Population Models

Theory And Ecological Applications With R And Jags

by Michael Schaub e Marc Kery

Property Description
ISBN: 9780128209158
Publisher: ELSEVIER SCIENCE
Release Date: November of 2021
Language: English
Format: eBook
File Format and Compatibility:
Categories: eBooks in English > Science > Zoology
EAN: 9780128209158
Acessibilidade: Ver características de acessibilidade indicadas pelo editor