This outline helps you navigate through the topics covered in the course. We recommend following the videos in the order given below as the individual lectures build upon each other and we assume that materials from previous chapters are known.
We learn how to build capture histories by hand from detection data.
We describe the three objects required at minimum to fit an SCR model (the detectors, the capture history and the mask), how to create these in R and use them to fit an SCR model.
We explain some of the technical terms related to SCR in plain English.
We describe the options for detection unit available for gibbons and introduce the complexities arising from these options.
We describe how we can localise the location of the calling animals of a group using triangulation of the call angles from the different detectors.
One example for estimating this parameter is given which involves focal follows of groups.
We describe how tracking groups across occasions alleviates the issue that not all groups call during a day.
We build a capture history for call detections and estimate call density.