# momepy.meshedness¶

momepy.meshedness(graph, radius=5, name='meshedness', distance=None)[source]

Calculates meshedness for subgraph around each node.

Subgraph is generated around each node within set radius. If distance=None, radius will define topological distance, otherwise it uses values in distance attribute.

$\alpha=\frac{e-v+1}{2 v-5}$

where $$e$$ is the number of edges in subgraph and $$v$$ is the number of nodes in subgraph.

Parameters
graphnetworkx.Graph

Graph representing street network. Ideally genereated from GeoDataFrame using momepy.gdf_to_nx()

radius: int

number of topological steps defining the extent of subgraph

namestr, optional

calculated attribute name

distancestr, optional

Use specified edge data key as distance. For example, setting distance=’weight’ will use the edge weight to measure the distance from the node n.

Returns
Graph

networkx.Graph

References

Feliciotti A (2018) RESILIENCE AND URBAN DESIGN:A SYSTEMS APPROACH TO THE STUDY OF RESILIENCE IN URBAN FORM. LEARNING FROM THE CASE OF GORBALS. Glasgow.

Examples

>>> network_graph = mm.meshedness(network_graph, radius=800, distance='edge_length')