Urban network analysis: centrality, accessibility, and statistics
Cityseer provides Processing algorithms for urban network analysis: network centrality
(closeness and betweenness), land-use accessibility, and localised statistics. Metrics
are computed on a dual graph representation where each road segment is a node connected
to its neighbours, with support for multiple distance thresholds, shortest and simplest
(angular) paths, boundary polygons, and deterministic distance-based sampling.
Requires the cityseer Python library: pip install cityseer
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