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The code in #2 has a bug -- networks instead of network

At the moment, the legends are not good. It would nice to have a colorbar, or a sample of point sizes with the values. I will do this one later, as it's not really critical.

@JuliaRegistrator register branch=master

Ideally, scatter would plot the points, and plot the lines -- this opens a few interesting possibilities.

@JuliaRegistrator register

In some cases, it would be useful to be able to label some nodes on the network, which can be done with annotate!(L, N) where L is a layout, and N is a network (or a subset of it).

This can probably be done with a recipe, but I'm not finding this info anywhere in the doc -- @mkborregaard do you have more info about where I should look?

seems like Plots.jl must also be added and called when using EcologicalNetworksPlots.jl
Please make this explicit in the example code

Several of the plots listed on https://poisotlab.github.io/EcologicalNetworksPlots.jl/latest/examples/
don't actually plot (using Julia 1.4.2). No error messages for me, just the plot doesn't seem to work.

#For example:
#"Force directed layout"
Umod = web_of_life("M_PA_003")
I = initial(RandomInitialLayout, Umod)
for step in 1:2000
position!(ForceDirectedLayout(1.5), I, Umod)
end
plot(I, Umod, aspectratio=1)
scatter!(I, Umod, bipartite=true)

the other plots that don't work are:

Fweb = simplify(nz_stream_foodweb()[5])
I = initial(FoodwebInitialLayout, Fweb)
for step in 1:4000
position!(ForceDirectedLayout(true, false, 2.5), I, Fweb)
end
plot(I, Fweb)
scatter!(I, Fweb)

and:

Fweb = simplify(nz_stream_foodweb()[5])
I = initial(FoodwebInitialLayout, Fweb)
for step in 1:4000
position!(ForceDirectedLayout(true, false, 2.5), I, Fweb)
end
tl = trophic_level(Fweb)
for s in species(Fweb)
I[s].y = tl[s]
end
plot(I, Fweb)
scatter!(I, Fweb)

and

Umod = web_of_life("M_PA_003")
I = initial(RandomInitialLayout, Umod)
for step in 1:4000
position!(ForceDirectedLayout(2.5), I, Umod)
end
plot(I, Umod, aspectratio=1)
scatter!(I, Umod)
N = convert(AbstractUnipartiteNetwork, convert(BinaryNetwork, Umod))
core3 = collect(keys(filter(p -> p.second == 3, degree(N))))
plot!(I, N[core3], lc=:red)
scatter!(I, N[core3], mc=:red)

that's it. the other plot examples on that page work fine

Add a heatmap function to plot the matrix itself