marcher-package: Migration and Range Change Analysis in R

In marcher: Migration and Range Change Estimation in R

Description

A collection of functions for performing a migration and range change analysis (MRSA) as described in by Gurarie et al. (2017). The key features are estimation of precise times, distances, and locations of a one or two step range shift in movement data.

Details

Some key functions for using marcher are:

1. estimate_shift Estimate a range shift process.

2. simulate_shift Simulate a range shift process.

3. plot.shiftfit Visualize a range shift process.

4. test_rangeshift Test whether a range shift occurred.

5. test_return Test whether a migration was a return migration.

6. test_stopover Test whether a stopover occurred during a migration.

Several simulated datasets are in the SimulatedTracks data object.

One roe deer (Capreolus capreolus) track is in the Michela object.

See the respective help files and vignette("marcher") for more details and examples.

Author(s)

Maintainer: Eliezer Gurarie [e-mail]

Authors:

• Farid Cheraghi

References

Gurarie, E., F. Cagnacci, W. Peters, C. Fleming, J. Calabrese, T. Mueller and W. Fagan (2017) A framework for modeling range shifts and migrations: asking whether, whither, when, and will it return. Journal of Animal Ecology. DOI: 10.1111/1365-2656.12674

See Also

Useful links:

• Report bugs at https://github.com/EliGurarie/marcher/issues

marcher documentation built on May 2, 2019, 9:44 a.m.