City2Graph · Build proximity graphs

Spatial proximity networks over Burjassot amenities: single-layer graphs, multi-layer graphs that bridge feature types, and group-node graphs that link zones to the points they contain. Mirrors the Proximity Graphs panel.

Needs a point feature object: download amenities with Get as Points in Import urban data, or convert footprints with Convert to Centroids.

1. Single-layer graph

Set Features to the amenities object and start with Graph Type K-Nearest Neighbors and K = 5. Distance Metric Euclidean needs nothing else; Network requires a street Network object.

Delaunay, Fixed Radius (set Radius), Waxman (set Beta/R0/Seed), Gabriel, Relative Neighborhood, EMST and Contiguity (set Queen/Rook) are the other topologies.

A KNN proximity graph over Burjassot amenities.

The Graph Type dropdown with all topology options.

2. Multi-layer bridge graph

Assign Layer 1 and Layer 2 (amenities and shops, say) and pick a Method, either KNN or Fixed Radius. The result connects across the layers rather than within them.

A multi-layer graph bridging two feature types.

3. Group nodes (zones ▸ points)

Set Polygons (zones) and Points, then choose a Predicate: Covered By, Within or Intersects. Each point is linked to its containing zone.

Connecting points to the zones that contain them.

4. Tune deduplication and visualization

Turn on Deduplicate Points and set a Dedup Tolerance in Advanced Settings when OSM ways have been imported as many vertices. Visualization carries Edge Thickness and a Visualize Limit for dense graphs.

Next steps

Analyze metapaths: connect amenities through the street network.