splitConnMat: Split connectivity matrix into subpopulations

In dmkaplan2000/ConnMatTools: Tools for Working with Connectivity Data

Description

This function tries to optimally split a given subpopulation into two smaller subpopulations.

Usage

splitConnMat(
  indices,
  conn.mat,
  beta,
  tries = 5,
  threshold = 1e-10,
  alpha = 0.1,
  maxit = 500
)

Arguments

indices	vector of indices of sites in a subpopulation
conn.mat	a square connectivity matrix. This matrix has typically been normalized and made symmetric prior to using this function.
beta	controls degree of splitting of connectivity matrix, with larger values generating more subpopulations.
tries	how many times to restart the optimization algorithm. Defaults to 5.
threshold	controls when to stop each "try". Defaults to 1e-10.
alpha	controls rate of convergence to solution
maxit	Maximum number of iterations to perform per "try".

Value

List with one or two elements, each containing a vector of indices of sites in a subpopulations

Author(s)

David M. Kaplan [e-mail]

References

Jacobi, M. N., Andre, C., Doos, K., and Jonsson, P. R. 2012. Identification of subpopulations from connectivity matrices. Ecography, 35: 1004-1016.

See Also

See also optimalSplitConnMat, recSplitConnMat, subpopsVectorToList

dmkaplan2000/ConnMatTools documentation built on Feb. 8, 2020, 4:41 p.m.