Distance Sampling Training Workshops 2019
In August 2019, the Centre for Research into Ecological and Environmental
Modelling (CREEM) at the University of St Andrews, Scotland, is hosting a
series of linked, training workshops on distance sampling survey methods and
analysis.
Introduction to R (for distance sampling): 19-20 August 2019
Many of the options available in the Distance for Windows program (Thomas et
al. 2013) are now available in R (R Core Team, 2018) packages. The goal of this
two-day workshop is to introduce participants to the R language and software
for statistics, in the context of analysis of distance sampling data.
Introduction to Distance Sampling (using R): 21-23 August 2019
This workshop will give participants a solid grounding in the basic methods for
design and analysis of distance sampling surveys. The statistical programming
language R will be used for all computer sessions and therefore this workshop
will be invaluable for those wishing to make the switch from the Distance for
Windows program to R.
Advanced-level Distance Sampling: 26-30 August 2019
This workshop will cover simulation of distance sampling surveys for design
purposes, survey and analysis methods for dealing with imperfect detection on
the track line (double-observer methods) and spatial modelling of distance
sampling data (as described in Miller et al. (2013)). The statistical
programming language R will be used for all computer sessions.
For more information see
https://www.creem.st-andrews.ac.uk/distance-workshops-st-andrews-2019/ or ;
contact Louise Burt (lb9@xxxxxxxxxxxxxxxx<mailto:lb9@xxxxxxxxxxxxxxxx>) or
Rhona Rodger (rmr5@xxxxxxxxxxxxxxxx).
References
Miller DL, Burt ML, Rexstad EA & Thomas L (2013) Spatial models for distance
sampling data: recent developments and future directions. Methods in Ecology
and Evolution 4 (11):1001-1010.
https://doi.org/10.1111/2041-210X.12105.<file:///C:\workshops\2019\Miller%20DL,%20Burt%20ML,%20Rexstad%20EA%20&%20Thomas%20L%20(2013)%20Spatial%20models%20for%20distance%20sampling%20data:%20recent%20developments%20and%20future%20directions.%20Methods%20in%20Ecology%20and%20Evolution%204%20(11):1001-1010.%20https:\doi.org\10.1111\2041-210X.12105>
R Core Team (2018) R: A language and environment for statistical computing. R
Foundation for Statistical Computing, Vienna, Austria. URL
https://www.R-project.org/
Thomas L, Buckland ST, Rexstad EA, Laake JL, Strindberg S, Hedley SL, Bishop
JRB, Marques TA & Burnham KP (2010) Distance software: design and analysis of
distance
sampling<mk:@MSITStore:C:\Program%20Files%20(x86)\Distance%207\Help\Distance.chm::/gloss_distancesampling.htm>
surveys for estimating population size. Journal of Applied Ecology 47: 5-14.
DOI: 10.1111/j.1365-2664.2009.01737.x
