# Discrete spatial networks

Here the central theme is studying different kinds of optimality property for networks over n given points in two-dimensional space. An over is given by the survey article: Connected Spatial Networks over Random Points and a Route-Length Statistic (with Julian Shun).

The "central" technical papers are

There is also a brief "data" paper
but I would like someone to continue this style of data collection.

Two less central technical papers are:

Somewhat related are Percolating paths through random points and Optimal flow through the disordered lattice.

A quite different but loosely related theory is developed in Optimal Transportation Networks. This modifies the classical Monge-Kantorovich transportation problem by seeking to design a network (with given sources and sinks) to carry the flows, and optimize with respect to cost, defined as follows. The total cost-per-unit-length of transport along an edge is $\phi^\alpha$ where $\phi$ is the total flow on the edge and $0 < \alpha < 1$ is a parameter. Intuitively, this concave cost setup encourages the network to have "freeways" carrying heavy traffic. The literature focusses on existence and topological properties of optimal networks, not on statistical properties of the optimal networks.

# Continuum spatial networks

Here I am investigating consequences of assuming scale-invariance, which necessitates working in the continuum. A short overview paper is
and the details are in a long technical paper A remarkable construction via the Poisson line process is in