curvCALC: Generate a random network

In KiranLDA/migflow: Calculates the maximum flow through a network

Description

This function generates a random migratory network

Usage

curvCALC(x, y, digits = 3)

Arguments

x	value for x axis, typically number or proportion of sites lost
y	value for y axis, typically population lost or proportion of population lost
digits	number of digits to round the result to

Value

a list containting the network which was randomly generated, the tracks that were randomly generated, and the sites that were randomly generated for animals to use.

Examples

pop=100000
rand_net = randomNET(nsites=100,nbreeding=3, nwintering=3,pop=pop,
                     mean_dist = 8000, sd_dist=9000, toplot=FALSE)

# priotise sites according to flow through network
prioritisation = prioritiseFLOW(rand_net$network, rand_net$sites, toplot=FALSE, returnNET = FALSE)

y=(prioritisation$prioritisation$Pop_Flow/pop)
x=((1:length(prioritisation$prioritisation$Pop_Flow))/
    length(prioritisation$prioritisation$Pop_Flow))


# calculate area under curve
AUC = curvCALC(x,y)
par(mfrow=c(1,1), mar=c(4,4,1,1))
plot(x,y,type="o",pch=20, main = AUC)

KiranLDA/migflow documentation built on Aug. 8, 2019, 8:55 p.m.