momepy.node_density

momepy.node_density(graph, radius, length='mm_len', distance=None, verbose=True)

Calculate the density of a node’s neighbours (for all nodes) on the street network defined in graph.

Calculated as the number of neighbouring nodes / cumulative length of street network within neighbours. Returns two values - an unweighted and weighted density unweighted is calculated based on the number of neigbhouring nodes, whereas weighted density will take into account node degree as k-1.

Adapted from [Dibble et al., 2017].

Parameters:

graphnetworkx.Graph

A Graph representing a street network. Ideally generated from GeoDataFrame using momepy.gdf_to_nx().

radius: int

Include all neighbors of distance <= radius from n.

lengthstr, default mm_len

The name of the attribute of segment length (geographical).

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 during ego_graph generation.

verbosebool (default True)

If True, shows progress bars in loops and indication of steps.

Returns:

netxGraph

A networkx.Graph object.

Examples

>>> network_graph = mm.node_density(network_graph, radius: int=5)