Bayesian Analysis of Spatially Structured Population Dynamics
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Beschreibung
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.
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.
Synthesizes a vast and diverse set of advanced statistical tools for modeling spatially structured population dynamics Provides sufficiently detailed R code for applying and further developing these models Illustrates the presentation of modeling results with elegant graphs
Autor*in
Qing Zhao
Themen in »Bayesian Analysis of Spatially Structured Population Dynamics«
Quantitative ecology Bayesian statistics Spatiotemporal statistics Metapopulation dynamics Landscape ecology Bayesian modelling Metropolis–Hastings algorithm Animal populations