inv_powerlaw {geohabnet}

Dispersal kernels

Description

-⁠[inv_powerlaw()]⁠ Get parameters and values pertaining to the inverse power law model. -⁠[neg_exp()]⁠ Get parameters and values pertaining to the negative exponential model.

Usage

inv_powerlaw(
  params = load_parameters(),
  betas = NULL,
  mets = NULL,
  we = NULL,
  linkcutoff = NULL
)

neg_expo(
  params = load_parameters(),
  gammas = NULL,
  mets = NULL,
  we = NULL,
  linkcutoff = NULL
)

Arguments

params

Object.load_parameters() by default. If not provided, the function will require all other parameters. It takes the precedence over other parameters.

betas

Numeric. Parameter for calculating the inverse power law.

mets

Character. Each of these metrics is applied to the adjacency matrix produced in the intermediate step.

we

Numeric The link weights to be used in the network analysis.

linkcutoff

Numeric. Currently used as a parameter to calculate centrality in the network.

gammas

Numeric. Parameter for calculating the negative exponential.

Details

The list object has following values used in running analysis -beta Parameter for calculating the inverse power law. -gamma Parameter for calculating the negative exponential. -metrics Each of these metrics is applied to the adjacency matrix produced in the intermediate step. -weights The link weights to be used in the network analysis. -cutoff Currently used as a parameter to calculate centrality in the network - betweeness() and closeness(). As defined in igraph::betweenness(), it's the maximum length to consider when calculating centrality. If zero or negative, then there is no such limit.

Value

List with parameters and values. See details.

References

Csardi G, Nepusz T (2006). “The igraph software package for complex network research.” InterJournal, Complex Systems, 1695. https://igraph.org.

Csárdi G, Nepusz T, Traag V, Horvát Sz, Zanini F, Noom D, Müller K (2024). igraph: Network Analysis and Visualization in R. doi:10.5281/zenodo.7682609, R package version 1.5.1, https://CRAN.R-project.org/package=igraph.

See Also

supported_metrics()