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 sampl...
Many simulation studies have examined the properties of distance sampling estimators of wildlife pop...
Line-transect distance sampling is a widely used method for estimating animal density from aerial su...
Conventional distance sampling adopts a mixed approach, using model-based methods for the detection ...
Distance sampling is one of the most commonly used methods for estimating density and abundance. Con...
Distance sampling is extensively used for estimating animal density or abundance. Conventional metho...
Line transect sampling is a distance sampling method for estimating the abundance of wild animal pop...
<div><p>Line transect sampling is a distance sampling method for estimating the abundance of wild an...
Distance sampling is a survey technique for estimating the abundance or density of wild animal popul...
A composite approach mixing design-based and model-based inference is considered for analyzing line-...
Distance sampling is a widely used group of closely related methods for estimating the density and/o...
Distance sampling is a technique for estimating the abundance of animals or other objects in a regio...
Conventional distance sampling (CDS) methods assume that animals are uniformly distributed in the vi...
Conventional distance sampling (CDS) methods assume that animals are uniformly distributed in the vi...
[[abstract]]We consider the estimation of animal density by distance sampling line transect survey w...
The theory underlying line transect and variable circular plot surveys-distance sampling-begins with...
Many simulation studies have examined the properties of distance sampling estimators of wildlife pop...
Line-transect distance sampling is a widely used method for estimating animal density from aerial su...
Conventional distance sampling adopts a mixed approach, using model-based methods for the detection ...
Distance sampling is one of the most commonly used methods for estimating density and abundance. Con...
Distance sampling is extensively used for estimating animal density or abundance. Conventional metho...
Line transect sampling is a distance sampling method for estimating the abundance of wild animal pop...
<div><p>Line transect sampling is a distance sampling method for estimating the abundance of wild an...
Distance sampling is a survey technique for estimating the abundance or density of wild animal popul...
A composite approach mixing design-based and model-based inference is considered for analyzing line-...
Distance sampling is a widely used group of closely related methods for estimating the density and/o...
Distance sampling is a technique for estimating the abundance of animals or other objects in a regio...
Conventional distance sampling (CDS) methods assume that animals are uniformly distributed in the vi...
Conventional distance sampling (CDS) methods assume that animals are uniformly distributed in the vi...
[[abstract]]We consider the estimation of animal density by distance sampling line transect survey w...
The theory underlying line transect and variable circular plot surveys-distance sampling-begins with...
Many simulation studies have examined the properties of distance sampling estimators of wildlife pop...
Line-transect distance sampling is a widely used method for estimating animal density from aerial su...
Conventional distance sampling adopts a mixed approach, using model-based methods for the detection ...