Spatial models for line transect sampling

This article develops methods for fitting spatial models to line transect data. These allow animal density to be related to topographical, environmental, habitat, and other spatial variables, helping wildlife managers to identify the factors that affect abundance. They also enable estimation of abun...

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Bibliographic Details
Main Authors: Sharon L. Hedley, Stephen T. Buckland
Other Authors: The Pennsylvania State University CiteSeerX Archives
Format: Text
Language:English
Published: 2004
Subjects:
Online Access:http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.129.4271
http://www.creem.st-and.ac.uk/stb/hedley.pdf
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spelling ftciteseerx:oai:CiteSeerX.psu:10.1.1.129.4271 2023-05-15T13:56:32+02:00 Spatial models for line transect sampling Sharon L. Hedley Stephen T. Buckland The Pennsylvania State University CiteSeerX Archives 2004 application/pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.129.4271 http://www.creem.st-and.ac.uk/stb/hedley.pdf en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.129.4271 http://www.creem.st-and.ac.uk/stb/hedley.pdf Metadata may be used without restrictions as long as the oai identifier remains attached to it. http://www.creem.st-and.ac.uk/stb/hedley.pdf Key Words Distance sampling Generalized additive model Generalized linear model Population size estimation Sightings survey Spatial distribution text 2004 ftciteseerx 2016-01-07T14:26:16Z This article develops methods for fitting spatial models to line transect data. These allow animal density to be related to topographical, environmental, habitat, and other spatial variables, helping wildlife managers to identify the factors that affect abundance. They also enable estimation of abundance for any subarea of interest within the surveyed region, and potentially yield estimates of abundance from sightings surveys for which the survey design could not be randomized, such as surveys conducted from platforms of opportunity. The methods are illustrated through analyses of data from a shipboard sightings survey of minke whales in the Antarctic. Text Antarc* Antarctic Unknown Antarctic The Antarctic
institution Open Polar
collection Unknown
op_collection_id ftciteseerx
language English
topic Key Words
Distance sampling
Generalized additive model
Generalized linear model
Population size estimation
Sightings survey
Spatial distribution
spellingShingle Key Words
Distance sampling
Generalized additive model
Generalized linear model
Population size estimation
Sightings survey
Spatial distribution
Sharon L. Hedley
Stephen T. Buckland
Spatial models for line transect sampling
topic_facet Key Words
Distance sampling
Generalized additive model
Generalized linear model
Population size estimation
Sightings survey
Spatial distribution
description This article develops methods for fitting spatial models to line transect data. These allow animal density to be related to topographical, environmental, habitat, and other spatial variables, helping wildlife managers to identify the factors that affect abundance. They also enable estimation of abundance for any subarea of interest within the surveyed region, and potentially yield estimates of abundance from sightings surveys for which the survey design could not be randomized, such as surveys conducted from platforms of opportunity. The methods are illustrated through analyses of data from a shipboard sightings survey of minke whales in the Antarctic.
author2 The Pennsylvania State University CiteSeerX Archives
format Text
author Sharon L. Hedley
Stephen T. Buckland
author_facet Sharon L. Hedley
Stephen T. Buckland
author_sort Sharon L. Hedley
title Spatial models for line transect sampling
title_short Spatial models for line transect sampling
title_full Spatial models for line transect sampling
title_fullStr Spatial models for line transect sampling
title_full_unstemmed Spatial models for line transect sampling
title_sort spatial models for line transect sampling
publishDate 2004
url http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.129.4271
http://www.creem.st-and.ac.uk/stb/hedley.pdf
geographic Antarctic
The Antarctic
geographic_facet Antarctic
The Antarctic
genre Antarc*
Antarctic
genre_facet Antarc*
Antarctic
op_source http://www.creem.st-and.ac.uk/stb/hedley.pdf
op_relation http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.129.4271
http://www.creem.st-and.ac.uk/stb/hedley.pdf
op_rights Metadata may be used without restrictions as long as the oai identifier remains attached to it.
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