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Statistical Efficiency in Distance Sampling. [PDF]
PLoS ONE, 2016 Distance sampling is a technique for estimating the abundance of animals or other objects in a region, allowing for imperfect detection. This paper evaluates the statistical efficiency of the method when its assumptions are met, both theoretically and by
Robert Graham Clark
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Mixture models for distance sampling detection functions. [PDF]
PLoS ONE, 2015 We present a new class of models for the detection function in distance sampling surveys of wildlife populations, based on finite mixtures of simple parametric key functions such as the half-normal.
David L Miller, Len Thomas
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Journal of Statistical Software, 2019 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
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Assessing mammal population densities in response to urbanization using camera trap distance sampling [PDF]
Ecology and Evolution, 2023 Environmental filtering is deemed to play a predominant role in regulating the abundance and distribution of animals during the urbanization process.
Zhilin Li +9 more
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Deriving observation distances for camera trap distance sampling [PDF]
African Journal of Ecology, 2022 AbstractCamera trap distance sampling (CTDS)o is a recently developed survey method to estimate animal abundance from camera trap data for unmarked populations. It requires the estimation of camera‐animal observation distances, which previously was done by comparing animal positions to reference labels at predefined intervals.
Hjalmar Kuhl, Annika Zuleger
exaly +5 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.
A H Welsh
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Model-Based Distance Sampling [PDF]
Journal of Agricultural, Biological, and Environmental Statistics, 2015 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
C S Oedekoven +2 more
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Distance sampling with camera traps [PDF]
Methods in Ecology and Evolution, 2017 SummaryReliable estimates of animal density and abundance are essential for effective wildlife conservation and management. Camera trapping has proven efficient for sampling multiple species, but statistical estimators of density from camera trapping data for species that cannot be individually identified are still in development.We extend point ...
Hjalmar Kuhl +2 more
exaly +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.
Nielson, Ryan M. +3 more
exaly +3 more sources
Sample Out-of-Sample Inference Based on Wasserstein Distance [PDF]
Operations Research, 2021 Financial institutions make decisions according to a model of uncertainty. At the same time, regulators often evaluate the risk exposure of these institutions using a model of uncertainty, which is often different from the one used by the institutions. How can one incorporate both views into a single framework? This paper provides such a framework. It
Jose H. Blanchet, Yang Kang
openaire +3 more sources