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Record Nr. |
UNINA9910903787803321 |
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Autore |
Zhao Qing |
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Titolo |
Bayesian Analysis of Spatially Structured Population Dynamics / / by Qing Zhao |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2024 |
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ISBN |
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Edizione |
[1st ed. 2024.] |
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Descrizione fisica |
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1 online resource (396 pages) |
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Collana |
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Ecological Studies, Analysis and Synthesis, , 2196-971X ; ; 253 |
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Disciplina |
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Soggetti |
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Ecology |
Biometry |
Biotic communities |
Population biology |
Ecology - Methodology |
Landscape ecology |
Zoology |
Biostatistics |
Community and Population Ecology |
Ecological Modelling |
Landscape Ecology |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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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. |
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Sommario/riassunto |
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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 |
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