Estimate Migratory Connectivity for Migratory Animals
Calculate Mantel correlation (rM) from points and/or distances.
Migratory connectivity strength function
Calculate psi (transition probabilities between sites in two phases of...
Pairwise differences between two or more independent Mantel correlatio...
Pairwise differences between two or more independent MC estimates
Distance matrix from position matrix
Estimate Mantel correlation (rM) from geolocator, GPS, and/or raster d...
Estimate migratory connectivity
Estimate MC, migratory connectivity strength
Estimate psi (transition probabilities between locations in two phases...
Grab (from https://github.com/SMBC-NZP/MigConnectivity) example RMark ...
Get Isoscape map getIsoMap
Generate probabilistic isotope assignments
MigConnectivity: A package for quantifying migratory connectivity patt...
Estimates population-level relative abundance from count data
Basic plot function for estMigConnectivity objects
Basic plot function for the different isoAssign outputs
Reverse transition probabilities and origin relative abundance
Simulate capture-mark-reencounter (CMR) migratory movement data
Simulates Breeding Bird Survey-style count data
Simulate geolocator (GL) migratory movement data
Simulates position of birds by individual, season, year, and month.
Simulate Dirichlet-based probability table data
Simulate telemetry/GPS data
Calculate Weights for Isotope Assignments weightAssign
Allows the user to estimate transition probabilities for migratory animals between any two phases of the annual cycle, using a variety of different data types. Also quantifies the strength of migratory connectivity (MC), a standardized metric to quantify the extent to which populations co-occur between two phases of the annual cycle. Includes functions to estimate MC and the more traditional metric of migratory connectivity strength (Mantel correlation) incorporating uncertainty from multiple sources of sampling error. For cross-species comparisons, methods are provided to estimate differences in migratory connectivity strength, incorporating uncertainty. See Cohen et al. (2018) <doi:10.1111/2041-210X.12916>, Cohen et al. (2019) <doi:10.1111/ecog.03974>, Roberts et al. (2023) <doi:10.1002/eap.2788>, and Hostetler et al. (2025) <doi:10.1111/2041-210X.14467> for details on some of these methods.