Bayesian Analysis of Spatially Structured Population Dynamics

Qing Zhao

ISBN 10: 3031645170 / ISBN 13: 9783031645174

Published by Springer, Palgrave Macmillan, 2024

About this Item

Druck auf Anfrage Neuware - Printed after ordering - 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.

Seller Inventory # 9783031645174

Bibliographic Details

• Title: Bayesian Analysis of Spatially Structured Population Dynamics
• Publisher: Springer, Palgrave Macmillan
• Publication Date: 2024
• Language: English
• ISBN 10: 3031645170
• ISBN 13: 9783031645174
• Binding: Buch
• Condition: Neu
• Dimensions: 241W x 160H x 28D millimeters 241 millimeters width by 160 millimeters height by 28 millimeters depth
• Weight: 770 grams

About this title

Synopsis

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.

About the Author

​Qing Zhao is a quantitative ecologist with strong interests in developing and applying statistical models to understand and predict how animal populations, communities and movement respond to our changing world. He has worked closely with conservation agencies for more than 10 years to broaden the impacts of his research on biodiversity conservation at local, regional, and international scales.