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＜電子ブック＞
Distance Sampling: Methods and Applications / by S. T. Buckland, E.A. Rexstad, T.A. Marques, C.S. Oedekoven
(Methods in Statistical Ecology. ISSN:21993203)

版	1st ed. 2015.
出版者	(Cham : Springer International Publishing : Imprint: Springer)
出版年	2015
本文言語	英語
大きさ	XV, 277 p. 80 illus., 24 illus. in color : online resource
著者標目	*Buckland, S. T author Rexstad, E.A author Marques, T.A author Oedekoven, C.S author SpringerLink (Online service)
件　名	LCSH:Biometry LCSH:Biotic communities LCSH:Population biology LCSH:Animal migration FREE:Biostatistics FREE:Community and Population Ecology FREE:Animal Migration
一般注記	Introduction -- The basic methods -- Designing surveys -- Designing distance sampling experiments -- Field methods and data checking -- Modelling detection functions -- Design-based estimation of animal density and abundance -- Model-based distance sampling: two-stage models -- Model-based distance sampling: full likelihood methods -- Variations on a theme -- Taxon-specific issues -- Exchanging assumptions for data -- Summary 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 firstpart 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.   HTTP:URL=https://doi.org/10.1007/978-3-319-19219-2

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