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-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.

Weitere Produkte vom selben Autor

Download
PDF
Ordinal Optimization Yu-Chi Ho, Qian-Chuan Zhao, Qing-Shan Jia

83,29 €*
Download
ePUB/PDF
Theory and Technology of Multiscale Dispersed Particle Gel for In-Depth Profile Control Caili Dai, Guang Zhao, Qing You, Mingwei Zhao, Yifei Liu, Fulin Zhao

155,00 €*
Triboelectric Nanogenerators Zi, Yunlong, Guo, Hengyu, Wang, Jie, Zhang, Chi, Chen, Xiangyu, Zhao, Qing

139,00 €*
Impurities Confined in Quantum Structures Zhao, Qing Xiang, Holtz, Olof

106,99 €*