Distance Sampling: Methods and Applications
1st ed. 2015
Book Details
Format
Hardback or Cased Book
Book Series
Methods in Statistical Ecology
ISBN-10
3319192183
ISBN-13
9783319192185
Edition
1st ed. 2015
Publisher
Springer International Publishing AG
Imprint
Springer International Publishing AG
Country of Manufacture
CH
Country of Publication
GB
Publication Date
Aug 24th, 2015
Print length
277 Pages
Weight
650 grams
Dimensions
16.60 x 24.60 x 2.00 cms
Ksh 21,600.00
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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.
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 also including recent developments 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 book’s accompanying website. Some of the case studies use the software Distance, while others use R code. The book is in three parts. The first part addresses basic methods, the design of surveys, distance sampling experiments, field methods and data issues. The second part develops a range of modelling approaches for distance sampling data. 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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