Bayesian Analysis of Spatially Structured Population Dynamics

The book introduces a series of state-of-art Bayesian models that can be used to understand and predict spatially structured population dynamics in our changing world. Several chapters are devoted to introducing models that utilize detection/non-detection data, count data, combined count and capture...

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Bibliographic Details
Main Author: Zhao, Qing
Format: eBook
Language:English
Published: Cham Springer International Publishing 2024, 2024
Edition:1st ed. 2024
Series:Ecological Studies, Analysis and Synthesis
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Description
Summary:The book introduces a series of state-of-art Bayesian models that can be used to understand and predict spatially structured population dynamics in our changing world. Several chapters are devoted to introducing models that utilize detection/non-detection data, count data, combined count and capture-recapture data, and spatial capture-recapture data, respectively. The book provides R code of Metropolis-Hastings algorithms that allow efficient computing of these complex models. The book is aimed at graduate students and researchers who are interested in using and further developing these models
Physical Description:XVI, 386 p. 58 illus. in color online resource
ISBN:9783031645181