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Distance sampling : methods and applications

S. T. Buckland - Personal Name; Eric A. Rexstad - Personal Name;

In this book, the authors cover the basic methods and advances within distance sampling that are most valuable to practitioners and in ecology more broadly. This is the fourth book dedicated to distance sampling. In the decade since the last book published, there have been a number of new developments. The intervening years have also shown which advances are of most use. This self-contained book covers topics from the previous publications, while℗ℓalso including recent℗ℓdevelopments in method, software and application. Distance sampling refers to a suite of methods, including line and point transect sampling, in which animal density or abundance is estimated from a sample of distances to detected individuals. The book illustrates these methods through case studies; data sets and computer code are supplied to readers through the bookℓ́ℓs accompanying website.℗ℓ Some of the case studies use the software Distance, while others use R code. The book is in three parts.℗ℓ The first part addresses basic methods, the design of surveys, distance sampling experiments, field methods and data issues.℗ℓ The second part develops a range of modelling approaches for distance sampling data.℗ℓ The third part describes variations in the basic method; discusses special issues that arise when sampling different taxa (songbirds, seabirds, cetaceans, primates, ungulates, butterflies, and plants); considers advances to deal with failures of the key assumptions; and provides a check-list for those conducting surveys.


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Detail Information
Series Title
-
Call Number
591.7
Publisher
Cham : Springer., 2015
Collation
xv, 277 pages
Language
English
ISBN/ISSN
9783319192192
Classification
591.7
Content Type
-
Media Type
-
Carrier Type
online resource
Edition
-
Subject(s)
Animal ecology
Specific Detail Info
-
Statement of Responsibility
-
Other Information
Cataloger
Kurnadi
Source
-
Validator
-
Other version/related

No other version available

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  • Distance sampling
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