Zhao, Qing. creator author. aut http://id.loc.gov/vocabulary/relators/aut SpringerLink (Online service) text sz 2024 1st ed. 2024. monographic eng

electronic

electronic resource

access XVI, 386 p. 58 illus. in color. online resource. 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. 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. by Qing Zhao. 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 9783031645181 https://doi.org/10.1007/978-3-031-64518-1 https://doi.org/10.1007/978-3-031-64518-1 241031 20251030113252.0 978-3-031-64518-1