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Point Transect Sampling Along Linear Features
Author(s) -
Marques T. A.,
Buckland S. T.,
Borchers D. L.,
Tosh D.,
McDonald R. A.
Publication year - 2010
Publication title -
biometrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.298
H-Index - 130
eISSN - 1541-0420
pISSN - 0006-341X
DOI - 10.1111/j.1541-0420.2009.01381.x
Subject(s) - transect , distance sampling , sampling (signal processing) , statistics , feature (linguistics) , position (finance) , sampling design , abundance (ecology) , point (geometry) , computer science , mathematics , environmental science , ecology , biology , telecommunications , detector , linguistics , philosophy , population , demography , geometry , finance , sociology , economics
Summary Distance sampling is a widely used methodology for assessing animal abundance. A key requirement of distance sampling is that samplers (lines or points) are placed according to a randomized design, which ensures that samplers are positioned independently of animals. Often samplers are placed along linear features such as roads, so that bias is expected if animals are not uniformly distributed with respect to distance from the linear feature. We present an approach for analyzing distance data from a survey when the samplers are points placed along a linear feature. Based on results from a simulation study and from a survey of Irish hares in Northern Ireland conducted from roads, we conclude that large bias may result if the position of samplers is not randomized, and analysis methods fail to account for nonuniformity.