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 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.
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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
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Product details
ISBN
9783031645174
Published
2024-10-31
Publisher
Springer International Publishing AG
Height
235 mm
Width
155 mm
Age
Graduate, UP, 05
Language
Product language
Engelsk
Format
Product format
Innbundet
Number of pages
16
Author