Results 281 to 290 of about 17,512,468 (321)

Advanced Distance Sampling

Ecology, 2008
Buckland, S. T., D. R. Anderson, K. P. Burnham, J. L. Laake, D. L. Borchers, and L. Thomas. 2007. Advanced distance sampling. Oxford University Press, New York. xvii + 416 p. £59.00 (cloth), ISBN: 978‐0‐19‐850783‐3 (alk. paper); £29.95 (paper), ISBN: 978‐0‐19‐922587‐3 (alk. paper).
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An open-population hierarchical distance sampling model.

Ecology, 2015
Modeling population dynamics while accounting for imperfect detection is essential to monitoring programs. Distance sampling allows estimating population size while accounting for imperfect detection, but existing methods do not allow for estimation of ...
R. Sollmann, B. Gardner, R. Chandler, J. Andrew Royle, T. Sillett   +4 more
semanticscholar   +1 more source

Introduction to advanced distance sampling

2004
Abstract Distance sampling, primarily line transect and point transect sampling, has had a relatively short history. The earliest attempts to use distances to detected animals to estimate abundance date back to the 1930s, and the first line transect estimator with a rigorous mathematical basis was due to Hayne (1949).
S T Buckland, D R Anderson
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Adaptive distance sampling surveys

2004
Abstract Distance sampling is especially effective for surveying objects that are sparsely distributed through a large region. However, if those objects tend to occur in a relatively small number of patches, standard distance sampling may yield both a low number of detections (because much effort is expended away from these patches) and ...
J H Pollard, S T Buckland
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Perpendicular Distance Models for Line Transect Sampling

Biometrics, 1985
Perpendicular distance line transect models are examined to assess whether any single model can provide a general procedure for analysing line transect data. Of the two-parameter models considered, the hazard-rate model appears promising, whereas the exponential power series and exponential quadratic models do not.
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Spatial distance sampling models

2004
Abstract Increasingly, wildlife managers wish to extract more than just an abundance estimate from their sightings surveys. They frequently need to relate animal density to spatial variables reflecting topography, habitat, and other factors that affect the animals’ environment.
S L Hedley, S T Buckland, D L Borchers
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Designing Distance Sampling Experiments

2015
For most of this book, we assume that the main objective is to estimate abundance of the population of interest. Sometimes, we might instead wish to assess the effects (if any) of a management regime or a development on population densities. For example, does spraying a forest block with pesticide to eradicate an insect pest have a detrimental effect ...
S. T. Buckland, E. A. Rexstad, T. A. Marques, C. S. Oedekoven   +3 more
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General formulation for distance sampling

2004
Abstract Full likelihood functions for distance sampling methods involve assuming probability models for the encounter rate or animal distribution, for the detection process, for cluster size (if animals are detected in clusters), and possibly for other data. Conventional distance sampling (CDS) methods avoid assuming a probability model
D L Borchers, K P Burnham
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Adaptive distance sampling

2002
We investigate mechanisms to improve efficiency for line and point transect surveys of clustered populations by combining the distance methods with adaptive sampling. In adaptive sampling, survey effort is increased when areas of high animal density are located, thereby increasing the number of observations.
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Distance Sampling

1993
S. T. Buckland, D. R. Anderson, K. P. Burnham, J. L. Laake   +3 more
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