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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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 |
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ftciteseerx |
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English |
topic |
Key Words Distance sampling Generalized additive model Generalized linear model Population size estimation Sightings survey Spatial distribution |
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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. |
_version_ |
1766264033081556992 |