Network Score

The paper associated with this code has been accpeted for publication with Environmental Research Letters:

Pitman, Andy & Saribatir, Ed & Greenhill, Catherine & Green, Samuel & Pitman, Samuel & Fiedler, Tanya. (2024). Linking physical climate risk with mandatory business risk disclosure requirements. Environmental Research Letters. 10.1088/1748-9326/ad4377. 

This python program builds a spider web graph using the Networkx library, based on the Aoyanagi and Okumura (2010) model. This web is defined by n radials and m rings that form concentric circles. Each point of intersection of radial lines and rings is a node of the web. You select three target nodes to be the basis of the network efficiency.

Superimposed over the spider’s web is a grid. We use a 100 by 100 grid but any grid dimension is available. Some individual grid boxes (cells) do not intersect with the spider’s web (e.g. at the corners of the grid) and hence extreme events can occur that have no impact on the web.

An xarray dataset is created with the same grid dimensions and contains the 'events' that may occur at each point in the grid. This dataset has two basic characteristics:

• The magnitude of an event. For example, an event of size 1 stays on the grid for a 1 timestep, an event of size 3 stays on the grid for 5 timesteps, etc.
• The frequency of events. The frequency of each magnitude can be varied with a weight.