Results 11 to 20 of about 17,512,468 (321)
Model-Based Distance Sampling [PDF]
Journal of Agricultural, Biological, and Environmental Statistics, 2015 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
David L Borchers +2 more
exaly +7 more sources
A Unifying Model for Capture-Recapture and Distance Sampling Surveys of Wildlife Populations. [PDF]
J Am Stat Assoc, 2015 A fundamental problem in wildlife ecology and management is estimation of population size or density. The two dominant methods in this area are capture–recapture (CR) and distance sampling (DS), each with its own largely separate literature. We develop a
Borchers DL +4 more
europepmc +4 more sources
Journal of the Royal Statistical Society Series B: Statistical Methodology, 2001 Summary We consider the method of distance sampling described by Buckland, Anderson, Burnham and Laake in 1993. We explore the properties of the methodology in simple cases chosen to allow direct and accessible comparisons of distance sampling in the design- and model-based frameworks.
Alan Welsh, Simon C Barry
exaly +5 more sources
Journal of Statistical Software, 2016 Estimating the abundance and spatial distribution of animal and plant populations is essential for conservation and management. We introduce the R package Distance that implements distance sampling methods to estimate abundance. We describe how users can
David L. Miller +4 more
semanticscholar +6 more sources
Distance software: design and analysis of distance sampling surveys for estimating population size [PDF]
Journal of Applied Ecology, 2009 Summary 1. Distance sampling is a widely used technique for estimating the size or density of biological populations. Many distance sampling designs and most analyses use the software Distance. 2.
L. Thomas +8 more
semanticscholar +2 more sources
Incorporating Animal Movement Into Distance Sampling [PDF]
Journal of the American Statistical Association, 2020 Distance sampling is a popular statistical method to estimate the density of wild animal populations. Conventional distance sampling represents animals as fixed points in space that are detected with an unknown probability that depends on the distance ...
Richard Glennie +6 more
semanticscholar +4 more sources
Drawn out of the shadows: Surveying secretive forest species with camera trap distance sampling
Journal of Applied Ecology, 2020 With animal species disappearing at unprecedented rates, we need an efficient monitoring method providing reliable estimates of population density and abundance, critical for the assessment of population status and trend.
Barbara Fruth +2 more
exaly +2 more sources
Distance sampling detection functions: 2D or not 2D? [PDF]
Biometrics, 2017 Conventional distance sampling (CDS) methods assume that animals are uniformly distributed in the vicinity of lines or points. But when animals move in response to observers before detection, or when lines or points are not located randomly, this ...
D. Borchers, M. Cox
semanticscholar +5 more sources
Optimization of ordered distance sampling†
Environmetrics, 2004 AbstractOrdered distance sampling is a point‐to‐object sampling method that can be labor‐efficient for demanding field situations. An extensive simulation study was conducted to find the optimum number, g, of population members to be encountered from each random starting point in ordered distance sampling.
Richard M. Engeman, Thomas J Boardman
exaly +3 more sources
Integrated distance sampling models for simple point counts. [PDF]
Ecology, 2022 Point counts (PCs) are widely used in biodiversity surveys but, despite numerous advantages, simple PCs suffer from several problems: detectability, and therefore abundance, is unknown; systematic spatiotemporal variation in detectability yields biased ...
M. Kéry +5 more
semanticscholar +1 more source