What is distance sampling?
Distance sampling is a widely used methodology for estimating animal density or abundance. Its name derives from the fact that the information used for inference are the recorded distances to objects of interest (usually animals) obtained by surveying lines or points. In the case of lines the perpendicular distances to detected animals are recorded, while in the case of points the radial distances from the point to detected animals are recorded. A key underlying concept is that the probability of detecting an animal decreases as its distance from the observer increases. Much of distance sampling methodology is concentrated on detection functions, which model the probability of detecting an animal, given its distance from the transect.
The below animation illustrates a simple line transect survey. As the observer moves along the transects (red line, showing progress along the current transect), objects are detected with a probability dependent on their distance from the observer (blue points are detected). Distances to the objects are recorded in the histogram. The histogram shows a characteristic decrease in frequency as distance increases — it is this relationship that is modelled by the detection function.
Code to generate the above figure may be found here.
The University of St Andrews has been delivering international training workshops for more than 20 years on the subject of distance sampling. In 2018, the lectures and exercises of the introductory training workshop formed the basis of a free online course available to everyone.
There are 21 videos of lectures described by workshop instructors here in St Andrews. There are also PDFs of the lectures. In addition, there are 12 exercises, complete with description, data and discussion of solutions. There are narrated demonstrations of working with the distance sampling software, Distance. There are many datasets to analyse and feedback mechanisms on the website to ask questions. Enhance your analysis skills and understanding of distance sampling concepts using the online course. In time, we hope to be able to supplement the online material with webinars, quizzes and additional video demonstrations.
The core concepts of distance sampling analysis are described in:
Buckland, S.T., Anderson, D.R., Burnham, K.P., Laake, J.L., Borchers, D.L. and Thomas, L. 2001. Introduction to Distance Sampling: Estimating Abundance of Biological Populations. Oxford University Press, Oxford, UK.
The previous edition of this book, published in 1993 is available online for free:
Buckland, S.T., Anderson, D.R., Burnham, K.P. and Laake, J.L. 1993. Distance Sampling: Estimating Abundance of Biological Populations. Chapman and Hall, London.
Advanced topics in distance sampling analysis are described in:
Buckland, S.T., Anderson, D.R., Burnham, K.P., Laake, J.L., Borchers, D.L. and Thomas, L. (Editors) 2004. Advanced Distance Sampling. Oxford University Press, Oxford, UK.
A book discussing practical considerations, along with developments in the decade 2004-2014 can be found in the recent book:
Two introductory articles are available for download here:
- International Encyclopedia of Statistical Sciences article (pdf, short)
- Encyclopedia of Environmetrics article (pdf, longer)
Additionally, the Open Access paper:
from Journal of Applied Ecology, which describes the various elements of Distance may be of interest. This paper is now the default citation for Distance.
Tiago Marques, Eric Rexstad, and Dave Miller maintain an extensive online bibliography of distance sampling papers.