Line transect sampling in small regions
Line transect sampling in small regions
This paper develops an approach to estimating population abundance from line transect surveys which uses a calibration survey to estimate the detection function which is then employed as a weight function in constructing the abundance estimate. Nonparametric methods of estimating the detection function via local regression and via a kernel density estimator are considered. The proposed methods are evaluated using a set of Western Australian plant data and weed enumeration data.
abundance estimation, calibration, detection function, distance sampling, kernel density estimation, line transect
1130-1137
Melville, G.J.
43de0182-d1b3-4f47-a3ac-dd45a3b91448
Welsh, A.H.
27640871-afff-4d45-a191-8a72abee4c1a
2001
Melville, G.J.
43de0182-d1b3-4f47-a3ac-dd45a3b91448
Welsh, A.H.
27640871-afff-4d45-a191-8a72abee4c1a
Abstract
This paper develops an approach to estimating population abundance from line transect surveys which uses a calibration survey to estimate the detection function which is then employed as a weight function in constructing the abundance estimate. Nonparametric methods of estimating the detection function via local regression and via a kernel density estimator are considered. The proposed methods are evaluated using a set of Western Australian plant data and weed enumeration data.
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Published date: 2001
Keywords:
abundance estimation, calibration, detection function, distance sampling, kernel density estimation, line transect
Organisations:
Statistics
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Local EPrints ID: 29938
URI: http://eprints.soton.ac.uk/id/eprint/29938
PURE UUID: 09c7eae9-cde5-40f2-9929-604f262c110e
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Date deposited: 11 May 2006
Last modified: 15 Mar 2024 07:36
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Author:
G.J. Melville
Author:
A.H. Welsh
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