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Bayesian Analysis of Spatially Structured Population Dynamics / by Qing Zhao.
Springer Nature - Springer Biomedical and Life Sciences eBooks 2024 English International Available online
View online- Format:
- Book
- Author/Creator:
- Zhao, Qing.
- Series:
- Ecological Studies, Analysis and Synthesis, 2196-971X ; 253
- Language:
- English
- Subjects (All):
- Ecology.
- Biometry.
- Biotic communities.
- Population biology.
- Ecology--Methodology.
- Landscape ecology.
- Zoology.
- Biostatistics.
- Community and Population Ecology.
- Ecological Modelling.
- Landscape Ecology.
- Local Subjects:
- Ecology.
- Biostatistics.
- Community and Population Ecology.
- Ecological Modelling.
- Landscape Ecology.
- Zoology.
- Physical Description:
- 1 online resource (396 pages)
- Edition:
- 1st ed. 2024.
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2024.
- 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.
- Contents:
- Chapter 1: Background
- Chapter 2: Occupancy Models
- Chapter 3: N-mixture models
- Chapter 4: Integrated population models (IPMs)
- Chapter 5: Spatial capture-recapture (SCR) models
- Chapter 6: Summary and outlook.
- Notes:
- Description based on publisher supplied metadata and other sources.
- ISBN:
- 3-031-64518-9
- OCLC:
- 1465362522
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