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...

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Opis bibliograficzny
1. autor:	Zhao, Qing (Autor)
Korporacja:	SpringerLink (Online service)
Format:	Elektroniczne E-book
Język:	angielski
Wydane:	Cham : Springer International Publishing : Imprint: Springer, 2024.
Wydanie:	1st ed. 2024.
Seria:	Ecological Studies, Analysis and Synthesis, 253
Hasła przedmiotowe:	Ecology . Biometry. Biotic communities. Population biology. Ecology > Methodology. Landscape ecology. Zoology. Ecology. Biostatistics. Community and Population Ecology. Ecological Modelling. Landscape Ecology.
Dostęp online:	https://doi.org/10.1007/978-3-031-64518-1
Etykiety:	Dodaj etykietę Nie ma etykietki, Dołącz pierwszą etykiete!

Spis treści:

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.

Bayesian Analysis of Spatially Structured Population Dynamics

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