Introduction | Model description | Mean process | Ranging process | Summaries | Simulating range shift processes | Estimating range shifts | ... in one line of code | Details of the output | Seeding parameters | Residual analysis and autocorrelation model selection | Example with roe deer data | Entire track | First migration | Further statistics and hypothesis tests | Migration distance and range shift index | Range shift test | Return test | Stopover test | Additional feature: net square displacement | References
Package: marcher 0.0.3
Eliezer Gurarie
marcher: Migration and Range Change Estimation in R
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.
Authors:
marcher_0.0.3.tar.gz
marcher_0.0.3.zip(r-4.7)marcher_0.0.3.zip(r-4.6)marcher_0.0.3.zip(r-4.5)
marcher_0.0.3.tgz(r-4.6-any)marcher_0.0.3.tgz(r-4.5-any)
marcher_0.0.3.tar.gz(r-4.7-any)marcher_0.0.3.tar.gz(r-4.6-any)
marcher_0.0.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
marcher/json (API)
| # Install 'marcher' in R: |
| install.packages('marcher', repos = c('https://eligurarie.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/eligurarie/marcher/issues
Datasets:
- Michela - Movement track of Michela, a roe deer
- MOU.3range - Simulated range shift tracks
- MOU.sim - Simulated range shift tracks
- MOUF.sim - Simulated range shift tracks
- MOUF.sim.random - Simulated range shift tracks
- MWN.sim - Simulated range shift tracks
Last updated from:cfc2e9b316. Checks:7 WARNING, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | WARNING | 145 | ||
| source / vignettes | OK | 167 | ||
| linux-release-x86_64 | WARNING | 157 | ||
| macos-release-arm64 | WARNING | 97 | ||
| macos-oldrel-arm64 | WARNING | 84 | ||
| windows-devel | WARNING | 104 | ||
| windows-release | WARNING | 97 | ||
| windows-oldrel | WARNING | 102 | ||
| wasm-release | OK | 99 |
Exports:computeAICestimate_shiftfitNSDgetAreagetCovgetLikelihoodgetMugetMu_multigetP.mugetRSIgetTaulocate_shiftmvrnorm2quickfitscan_trackselectModelsimulate_shifttest_rangeshifttest_returntest_stopover
Dependencies:clicpp11farvergenericsgluegtoolslabelinglatticelifecyclelubridatemagrittrMatrixminpack.lmmvtnormnumDerivplyrR6RColorBrewerRcpprlangscalestimechangeviridisLitezoo
Migration and range change estimation: the marcher package
Last update: 2020-04-28
Started: 2017-02-22
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Migration and Range Change Analysis in R | marcher-package marcher |
| Estimating range shifts | estimate_shift |
| Test range shift using net-squared displacement | fitNSD |
| Compute area | getArea |
| Estimation Helper Functions | getCov mvrnorm2 |
| Estimate likelihoods and AICs | getAIC.nls getLikelihood getLikelihood.res |
| Obtain mean vector for a range shift process | getMu getMu_multi |
| Compute Range Shift Index | getRSI |
| Compute time scale parameters | getTau |
| Interactive locating of range shifting | locate_shift |
| Movement track of Michela, a roe deer | Michela |
| Plot results of an range-shift fit | plot.shiftfit |
| Quick fit of one-step migration | quickfit |
| scan_track | scan_track |
| Select residual model | selectModel |
| Simulate MOUF process | simulate_shift |
| Simulated range shift tracks | MOU.3range MOU.sim MOUF.sim MOUF.sim.random MWN.sim SimulatedTracks |
| Range shift hypothesis tests | test_rangeshift test_return test_stopover |