Data for distance sampling
Model selection with overdispersed distance sampling data
... We simulated movements of 10, 12, and 15 animals within 1 km 2 study areas in old growth, regrowing, and recently-logged habitats, respectively. Each animal started with a random initial location and heading, after which ...
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Adaptive distance sampling
... survey data with an effort factor of less than ...completed sampling in the region, allowing these data to be included in the estimate without biasing the abundance ...
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Distance sampling in R
... Acknowledgments The authors thank the two anonymous reviewers for their constructive comments, which have greatly improved the paper and package. The authors would like to thank the many users of Distance, mrds ...
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Model based distance sampling
... Model-Based Distance Sampling ...Conventional distance sampling adopts a mixed approach, using model-based methods for the detection process, and design-based methods to estimate animal ...
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Statistical efficiency in distance sampling
... Distance sampling is a technique for estimating the abundance of animals or other objects in a region, allowing for imperfect ...tance sampling estimator arising from uncertainty about the unknown ...
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Spatial models for distance sampling data : recent developments and future directions
... 2006). Our aims in creating a spatial model of a biological popu- lation are usually twofold: (i) estimating overall abundance and (ii) investigating the relationship between abundance and environmental covariates. As ...
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A Model-Based Approach for Making Ecological Inference from Distance Sampling Data
... Models for the spatial point process can be limited to use spatial coordinates like the one-dimensional spline used in the Dubbo weed example. Similar models can be created to pro- vide a smooth two-dimensional surface ...
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Mixed effect models in distance sampling
... analysing distance sampling count data from such ...the distance data, from which an offset is estimated to account for imperfect detection within the surveyed strip or ...
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Incorporating animal movement into distance sampling
... Abstract Distance sampling is a popular statistical method to esti- mate the density of wild animal ...Conventional distance sampling represents animals as fixed points in space that are ...
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The effect of data analysis strategies in density estimation of mountain ungulates using distance sampling
... Our results, however, agree with those obtained by Southwell and Weaver ( 1993 ) regarding the loss of precision in estimates when working with truncated and/or binned data. This work also suggests that DS ...
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From distance sampling to spatial capture recapture
... Abstract Distance sampling and capture–recapture are the two most widely used wildlife abundance estimation ...for distance sampling methods to incorporated spatial models rather than to rely ...
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Mixture models for distance sampling detection functions
... example data sets on specific taxa, we note that there is no limitation to the species or survey setup that mixture model detection functions can be used ...survey data where traditional methods produce ...
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Bayesian methods for hierarchical distance sampling models
... Using maximum likelihood methods, the random effect coefficients are not estimated individually but are integrated out during the optimisation of the likelihood. However, due to the integrated nature of the detection and ...
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Non uniform coverage estimators for distance sampling
... coverage sampling estimator. However, the unequal coverage sampling estimator was also implemented using the true animal distribution to compute the ...
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Distance sampling detection functions : 2D or not 2D?
... should distance sampling detection function models remain 1D or move to 2D? Although time to detection data are in principle informative about p(0), our limited simulations suggest that when p(0) is ...
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Distance sampling and the challenge of monitoring butterfly populations
... Figure Legends Figure 1. Histogram of detection distances among 5363 observations of butterflies on transects. The vertical bar indicates the edge of the Pollard Walk box, outside which butterflies are not counted. ...
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Distance software: design and analysis of distance sampling surveys for estimating population size
... some data sets, especially for spiked data and for some point transect data ...the data well, for example because the estimated proba- bility of detection falls off more quickly with ...
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Distance software: design and analysis of distance sampling surveys for estimating population size
... collecting data while moving between transects can be ...the distance between sections of survey effort along a transect is roughly equal to the separation between successive parallel transects (Buckland et ...
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Distance sampling for epidemiology: an interactive tool for estimating under-reporting of cases from clinic data
... incorporates data from a large number of geographically dispersed clinics, and thus offers opportunity for large-scale spatial ...effective distance between the patient’s residence and the nearest health ...
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Survey Designs for Distance Sampling: A Study of Zebra Mussels
... proper sampling methods, we took advantage of technology and ran simulations of different survey designs, as we could not experiment with sampling designs within ...used data of already surveyed ...
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