Welcome to the Distance project website

The Distance project provides software for the design and analysis of distance sampling surveys of wildlife populations. This software takes two forms: a Windows-based program and a suite of packages for the statistical programming language R.

If you are unfamiliar with distance sampling concepts, or are looking for links to books and literature or introductory training videos, please visit the page – What is distance sampling?

The 2016 St Andrews distance sampling workshops have been completed. Dates for the 2017 workshops will appear at the St Andrews website in due course.

Photos of a polar bear, grouse and lizard, taken by Tiago Marques (bear/lizard) and Steve Buckland (grouse)

Software to design and analyse distance sampling surveys

There are two routes you can choose to analyse your data. You can either use the “standalone” Windows software Distance or use packages available in the R programming language. In reality, you are (mostly) using packages written in R whichever you choose; the first option provides a graphical interface to the underlying analysis software.

Distance for Windows

The graphical interface of Distance has been in existence since 1997 and over 30,000 users from > 110 countries have grown accustomed to it. At time of this writing (October 2016) we have just released Distance (graphical interface) version 7.0 Release 1. Version 7 contains all the features of version 6.2 with the addition of a simulation engine and an engine for analysis of data with unidentified sightings, model or covariate uncertainty. We are placing all our development effort into version 7 and encourage users to switch to version 7. Version 6.2 will remain available on this website but will receive no further enhancements.

Distance is available for download from this web site at no cost.

Distance R packages

We encourage people who analyse distance sampling data to consider migrating from the graphical interface version to the use of R. The single exception to this is survey design which at present can only be performed using the graphical interface. Granted, this requires some investment in learning to use R. Why would users not all choose to use the graphical interface version of Distance? There are at least three reasons:

  • New developments in distance sampling analysis is first developed in R, only later is a graphical interface to the R software developed.
  • Some functionality of the software written in R is not accessible through the graphical interface. It is challenging for development of the interface to keep up with developments in the underlying analysis software. Our programmer time must be allocated between the tasks of developing analysis software and updating the graphical interface.
  • Some users maintain their distance sampling data using the database features of R. Consequently, their data reside in R and analysis is most readily performed by remaining in R.

There are two packages (and associated vignettes) to ease the transition to R:

Further information on Distance-related R packages

Other pages on this site