MigrationDetectR: MigrationDetectR: Segment-Based Migration Detection Algorithm

In MigrationDetectR: Segment-Based Migration Detection Algorithm

MigrationDetectR: Segment-Based Migration Detection Algorithm

Description

Implementation of Migration detection algorithm, published by Chi et al. (2020) in A general approach to detecting migration events in digital trace data (\Sexpr[results=rd]{tools:::Rd_expr_doi("10.1371/journal.pone.0239408")} )

Changes in the R implementation

• Compared to the reference, this implementation works at the precision of seconds rather than days. At the expense of speed, it is applicable at finer timescales.

• The segment detector has the additional option to allow for one of several overlapping segments to persist if it contains the majority of occurrences during the overlap period.

Usage

First, transform your data into the format required by the package: Two aligned vectors, one with locations and one with timestamps. Use the detect_segments function to identify segments of continuous residence. Then, use the identify_migrations function on the segments to detect migrations. To optionally determine the best split time, pass the original locations and timestamps vectors.

Author(s)

Johannes Mast (R Implementation)

Guanghua Chi (Developer of the Algorithm)

MigrationDetectR documentation built on Nov. 11, 2023, 5:07 p.m.