MigrationDetectR

MigrationDetectR

Developed in collaboration with G. Chi and DLR (2023)

MigrationDetectR implements a method for the detection of migration events in digital trace data. The segment-based algorithm was originally developed by Chi et al. (2020). This algorithm can detect migration events at various scales and even in sparse location histories. With some small adaptations that add additional options to deal with cases of overlapping segments, we implemented it in R.

Implementation of Migration detection algorithm, published by Chi et al. (2020) in A general approach to detecting migration events in digital trace data

GitHub Repository