Occupancy Estimation and Modeling - Inferring Patterns and Dynamics of Species Occurrence (Paperback, 2nd edition)

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. Occupancy Estimation and Modeling: Inferring Patterns and Dynamics of Species Occurrence, Second Edition has been greatly expanded and detail is provided regarding the estimation methods and examples of their application are given. Important study design recommendations are also covered to give a well rounded view of modeling.

General

Imprint:	Academic Press Inc
Country of origin:	United States
Release date:	November 2017
First published:	2018
Authors:	Darryl I. MacKenzie • James D. Nichols • J. Andrew Royle • Kenneth H. Pollock • Leslie Bailey • James E. Hines
Dimensions:	229 x 152 x 37mm (L x W x T)
Format:	Paperback
Pages:	648
Edition:	2nd edition
ISBN-13:	978-0-12-814691-0
Categories:	Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematical modelling Books > Science & Mathematics > Biology, life sciences > Zoology & animal sciences > General
LSN:	0-12-814691-5
Barcode:	9780128146910

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!