Bayesian Analysis of Spatially Structured Population Dynamics / / by Qing Zhao
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| Autore: |
Zhao Qing
|
| Titolo: |
Bayesian Analysis of Spatially Structured Population Dynamics / / by Qing Zhao
|
| Pubblicazione: | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2024 |
| Edizione: | 1st ed. 2024. |
| Descrizione fisica: | 1 online resource (396 pages) |
| Disciplina: | 519.542 |
| Soggetto topico: | Ecology |
| Biometry | |
| Biotic communities | |
| Population biology | |
| Ecology - Methodology | |
| Landscape ecology | |
| Zoology | |
| Biostatistics | |
| Community and Population Ecology | |
| Ecological Modelling | |
| Landscape Ecology | |
| Nota di contenuto: | 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. |
| Sommario/riassunto: | 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. |
| Titolo autorizzato: | Bayesian Analysis of Spatially Structured Population Dynamics |
| ISBN: | 3-031-64518-9 |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910903787803321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |
Serie:
Ecological Studies, Analysis and Synthesis, . 2196-971X ; ; 253