genmovnet: Generate network adjacency matrix for movement
In GarrettLab/INApreliminary: Impact Network Analysis

Description Usage Arguments Details Examples

This function generates an adjacency matrix for movement, assumed symmetric (in this version). It is used by functions including INAscene. The movement adjacency matrix is composed of 1s and 0s only if lktype="pa" option is used

1	genmovnet(geocoords4n, amdist4, iplot = F, amrandp4, ampla4, amplb4)

`geocoords4n`	the matrix of xy coordinates for node locations, used when the probability of a link is a function of distance (note that the distance between each pair of locations is assumed to be greater than 1)
`amdist4`	the function of distance used to estimate movement probability - 'random' (not related to distance) or 'powerlaw' (inverse power law) or 'exp' (negative exponential, to be added)
`iplot`	if T, generates igraph plot of adjacency matrix
`amrandp4`	random matrix with entries binomial with probability p
`ampla4`	inverse power law parameter a in ad^(-b)
`amplb4`	inverse power law parameter b in ad^(-b)

Updated 2020-09-05

x1 <- genmovnet(j <- genlocs(xrange4=c(0,50), yrange4=c(0,50), numnodes4=50, randgeo4=TRUE), amdist4='random', amrandp4=0.01, iplot=T)
x2 <- genmovnet(j <- genlocs(xrange4=c(0,50), yrange4=c(0,50), numnodes4=100, randgeo4=TRUE), amdist4='random', amrandp4=0.02, iplot=T)
x7 <- genmovnet(geocoords4n=matrix(c(1,1, 1,2, 1,3, 2,1, 2,2, 2,3),ncol=2,byrow=T), amdist4='powerlaw', ampla4=2, amplb4=1, iplot=T)
x8 <- genmovnet(j <- genlocs(numnodes4=30, xrange4 = c(0, 10), yrange4 = c(0, 10)), amdist4='powerlaw', ampla4=2, amplb4=1, iplot=T)
x9 <- genmovnet(j <- genlocs(numnodes4=300, xrange4 = c(0, 10), yrange4 = c(0, 100)), amdist4='powerlaw', ampla4=2, amplb4=1, iplot=T)