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Bayesian analysis of spatially structured population dynamics

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Bayesian analysis of spatially structured population dynamics/ by Qing Zhao.
作者:	Zhao, Qing.
出版者:	Cham :Springer International Publishing : : 2024.,
面頁冊數:	xvi, 386 p. :ill. (chiefly color), digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Population - Statistical methods. -
電子資源:	https://doi.org/10.1007/978-3-031-64518-1
ISBN:	9783031645181

Bayesian analysis of spatially structured population dynamics
Zhao, Qing.

Bayesian analysis of spatially structured population dynamics[electronic resource] /by Qing Zhao. - Cham :Springer International Publishing :2024. - xvi, 386 p. :ill. (chiefly color), digital ;24 cm. - Ecological studies, analysis and synthesis,v. 2532196-971X ;. - Ecological studies, analysis and synthesis ;v. 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.

ISBN: 9783031645181

Standard No.: 10.1007/978-3-031-64518-1doiSubjects--Topical Terms:

656675
Population
--Statistical methods.

LC Class. No.: HA155

Dewey Class. No.: 304.60727

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