Migration and Range Change Estimation in R
Obtain mean vector for a range shift process
Compute Range Shift Index
Estimation Helper Functions
Estimate likelihoods and AICs
Compute area
Estimating range shifts
Test range shift using net-squared displacement
Compute time scale parameters
Interactive locating of range shifting
Migration and Range Change Analysis in R
Plot results of an range-shift fit
Quick fit of one-step migration
scan_track
Select residual model
Simulate MOUF process
Range shift hypothesis tests
A set of tools for likelihood-based estimation, model selection and testing of two- and three-range shift and migration models for animal movement data as described in Gurarie et al. (2017) <doi: 10.1111/1365-2656.12674>. Provided movement data (X, Y and Time), including irregularly sampled data, functions estimate the time, duration and location of one or two range shifts, as well as the ranging area and auto-correlation structure of the movment. Tests assess, for example, whether the shift was "significant", and whether a two-shift migration was a true return migration.