Analysis of double platform data

Author

Centre for Research into Ecological and Environmental Modelling
University of St Andrews

Modified

November 2024

Analysis of double platform data

A fundamental assumption of “conventional” distance sampling is that we detect all animals at zero distance – i.e., that g(0)=1. In some circumstances this assumption is violated, for example in shipboard surveys of marine mammals where they may be underwater or obscured by waves when the observer looks for them even right on the transect line.

Here we introduce an extended type of distance sampling that can help deal with this issue: the use of two independent observation teams, sometimes called “double platform” (because on ships they operate from different physical platforms). The analysis approach used on double platform data is called “Mark Recapture Distance Sampling” (MRDS).

We introduce the topic with a lecture, and follow up with an exercise that covers two datasets: an artificial survey of a known population of golf tees in St Andrews (to illustrate the concepts), and a real-world survey of crabeater seals in Antarctica (Southwell et al. (2007)).

Photo by Luiz Felipe on Unsplash

Lecture materials

Lecture discussion

Exercise materials

Supplemental materials

Further reading on MRDS

  • See Burt et al. (2014) for a paper introducing MRDS methods. This is more accessible than the original MRDS reference (Laake & Borchers, 2004).
  • Borchers et al. (2006) develop point independence methods.
  • Buckland et al. (2010) go one step further with “limiting independence” methods - but there is no accessible software to implement this.
  • Laake et al. (2011) extend the methods to point transect surveys.

Other approaches for dealing with g(0)<1

References

Borchers, D. L., Laake, J. L., Southwell, C., & Paxton, C. G. M. (2006). Accommodating unmodeled heterogeneity in double-observer distance sampling surveys. Biometrics, 62, 372–378. https://doi.org/10.1111/j.1541-0420.2005.00493.x
Buckland, S. T., Laake, J., & Borchers, D. L. (2010). Double observer line tansect methods: Levels of independence. Biometrics, 66, 169–177. https://doi.org/10.1111/j.1541-0420.2009.01239.x
Burt, M. L., Borchers, D. L., Jenkins, K. J., & Marques, T. A. (2014). Using mark-recapture distance sampling methods on line transect surveys. Methods in Ecology and Evolution, 5, 1180–1191. https://doi.org/10.1111/2041-210X.12294
Laake, J. L., & Borchers, D. L. (2004). Methods for incomplete detection at distance zero. In S. T. Buckland, D. R. Anderson, K. P. Burnham, J. L. Laake, D. L. Borchers, & L. Thomas (Eds.), Advanced distance sampling (pp. 127–208). Oxford: Oxford University Press.
Laake, J. L., Collier, B. A., Morrison, M. L., & Wilkins, R. N. (2011). Point-based mark-recapture distance sampling. Journal of Agricultural, Biological and Environmental Statistics, 16, 389–408. https://doi.org/doi.org/10.1007/s13253-011-0059-5
Southwell, C., Borchers, D., de la Mare, B., Paxton, C. G. M., Burt, L., & de la Mare, W. (2007). Estimation of detection probability on aerial surveys of Antarctic pack-ice seals. Journal of Agricultural, Biological, and Environmental Statistics, 12, 1–14. https://doi.org/10.1198/108571107X162920