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
%0 Journal Article
%1 marques_point_2010
%A Marques, T. A.
%A Buckland, S. T.
%A Borchers, D. L.
%A Tosh, D.
%A McDonald, R. A.
%D 2010
%J Biometrics
%K imported
%N 4
%P 1247--1255
%R 10.1111/j.1541-0420.2009.01381.x
%T Point Transect Sampling Along Linear Features
%U http://doi.wiley.com/10.1111/j.1541-0420.2009.01381.x
%V 66
%X 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
@article{marques_point_2010,
abstract = {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},
added-at = {2017-01-09T13:57:26.000+0100},
author = {Marques, T. A. and Buckland, S. T. and Borchers, D. L. and Tosh, D. and McDonald, R. A.},
biburl = {https://www.bibsonomy.org/bibtex/21985f28a5571ec411a82d8c619cd82f4/yourwelcome},
doi = {10.1111/j.1541-0420.2009.01381.x},
interhash = {79f078116b91d32526596f4c59920415},
intrahash = {1985f28a5571ec411a82d8c619cd82f4},
issn = {0006341X},
journal = {Biometrics},
keywords = {imported},
number = 4,
pages = {1247--1255},
timestamp = {2017-01-09T14:01:11.000+0100},
title = {Point {Transect} {Sampling} {Along} {Linear} {Features}},
url = {http://doi.wiley.com/10.1111/j.1541-0420.2009.01381.x},
urldate = {2012-01-26},
volume = 66,
year = 2010
}