Bayesian Analysis of Spatially Structured Population Dynamics
Zhao, Qing.
Bayesian Analysis of Spatially Structured Population Dynamics [electronic resource] / by Qing Zhao. - 1st ed. 2024. - XVI, 386 p. 58 illus. in color. online resource. - Ecological Studies, Analysis and Synthesis, 253 2196-971X ; . - Ecological Studies, Analysis and Synthesis, 253 .
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.
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.
9783031645181
Ecology .
Biometry.
Biotic communities.
Population biology.
Ecology--Methodology.
Landscape ecology.
Zoology.
Ecology.
Biostatistics.
Community and Population Ecology.
Ecological Modelling.
Landscape Ecology.
Zoology.
QH540-549.5
577
Bayesian Analysis of Spatially Structured Population Dynamics [electronic resource] / by Qing Zhao. - 1st ed. 2024. - XVI, 386 p. 58 illus. in color. online resource. - Ecological Studies, Analysis and Synthesis, 253 2196-971X ; . - Ecological Studies, Analysis and Synthesis, 253 .
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.
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.
9783031645181
Ecology .
Biometry.
Biotic communities.
Population biology.
Ecology--Methodology.
Landscape ecology.
Zoology.
Ecology.
Biostatistics.
Community and Population Ecology.
Ecological Modelling.
Landscape Ecology.
Zoology.
QH540-549.5
577
