R package for Migration Analysis released
We are happy to announce the initial release of our MigrationDetectR package. The package has been developed by Johannes Mast and applied as part of our work in the MIGRAWARE project. It is now released as part of the DLR UKIS-Toolset [ https://github.com/dlr-eoc/ukis-migrationdetectr ] and made available on CRAN [ https://cran.r-project.org/package=MigrationDetectR ]
MigrationDetectR implements a method for the detection of migration events in digital trace data. The segment-based algorithm was originally developed in Chi et al. (2020) [ https://doi.org/10.1371/journal.pone.0239408 ] and has now been implemented in R. It can detect migration events at various scales and even in sparse location histories.
The package is stable, however, we welcome ideas for further improvements. Get in touch if you want to contribute [ https://github.com/dlr-eoc/ukis-migrationdetectr/blob/main/CONTRIBUTING.md ].
The related scientific paper titled “The migrant perspective: Measuring migrants’ movements and interests using geolocated tweets” has been published in the Journal of Population, Space and Place and it can be found at: https://doi.org/10.1002/psp.2732 . We reported on the paper in detail here: https://remote-sensing.org/new-publication-on-the-analysis-of-migrants-interests-using-social-media-data/
