|
Titre :
|
Occupancy Estimation and Modeling . Inferring patterns and dynamics of species occurrence
|
|
Auteurs :
|
James D. Nichols, Auteur ;
J. Andrew Royle, Auteur ;
Kenneth H. Pollock, Auteur ;
Larissa L. Bailey, Auteur ;
James E. Hines, Auteur
|
|
Type de document :
|
Ouvrage
|
|
Editeur :
|
Boston : Academic Press, 2018
|
|
ISBN/ISSN/EAN :
|
978-0-12-407197-1
|
|
Format :
|
641
|
|
Langues:
|
Anglais
|
|
Index. décimale :
|
MA1 (Mathématiques, Statistiques, Informatique)
|
|
Mots-clés :
|
Statistique
;
Modèle
|
|
Résumé :
|
Occupancy Estimation and Modeling: Inferring Patterns and Dynamics of Species Occurrence, Second Edition, provides a synthesis of model-based approaches for analyzing presence-absence data, allowing for imperfect detection. Beginning from the relatively simple case of estimating the proportion of area or sampling units occupied at the time of surveying, the authors describe a wide variety of extensions that have been developed since the early 2000s. This provides an improved insight about species and community ecology, including, detection heterogeneity; correlated detections; spatial autocorrelation; multiple states or classes of occupancy; changes in occupancy over time; species co-occurrence; community-level modeling, and more.
|
|
En ligne :
|
https://www.sciencedirect.com/science/article/pii/B9780124071971000284
|
