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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Format: | eBook |
Language: | English |
Published: |
Cham
Springer International Publishing
2024, 2024
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Edition: | 1st ed. 2024 |
Series: | Ecological Studies, Analysis and Synthesis
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Subjects: | |
Online Access: | |
Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
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 |
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Physical Description: | XVI, 386 p. 58 illus. in color online resource |
ISBN: | 9783031645181 |