At this point in the workshop, you have used nearly all of the functions in the Distance package to conduct a thorough analysis of a distance sampling survey. Just to recap, here they are, compartmentalised by the stage of analysis in which the functions receive use.
The first compartment, Input does not use functions from the Distance package, here external data (often in the form of a spreadsheet) is brought into R. The some basic exploratory analysis is performed by creating histograms and other graphs.
Model fitting is where much of the work is performed by the ds() function.
Model criticism takes the form of assessing absolute and relative fit of your candidate models. After some model selection, details of the analysis are scrutinised with text output (summary()) and graphical output (plot()). If you have used covariates in the detection function model, you may also want to use add_ds_covar_line().
If there are more advanced elements to your analysis (alternative encounter rate variance estimate or multipliers), dht2() is used.
Finally, uncertainty of your selected model is estimated using bootstrapping with bootdht().
