{"name": "Cityseer", "package_name": "cityseer_qgis", "description": "Urban network analysis: centrality, accessibility, and statistics", "about": "Cityseer provides Processing algorithms for urban network analysis: network centrality\n(closeness and betweenness), land-use accessibility, and localised statistics. Metrics\nare computed on a dual graph representation where each road segment is a node connected\nto its neighbours, with support for multiple distance thresholds, shortest and simplest\n(angular) paths, boundary polygons, and deterministic distance-based sampling.\nRequires the cityseer Python library: pip install cityseer", "homepage": "https://cityseer.benchmarkurbanism.com/plugin", "repository": "https://github.com/benchmark-urbanism/cityseer-api", "tracker": "https://github.com/benchmark-urbanism/cityseer-api/issues", "author": "Benchmark Urbanism", "tags": ["statistics", "graph", "accessibility", "betweenness", "street network", "network centrality", "closeness", "urban analysis"], "downloads": 460, "latest_version": "4.24.1", "versions": [{"version": "4.24.1", "experimental": true, "qgis_min": "4.0.0", "qgis_max": "4.99.0", "downloads": 356, "uploaded_by": "songololo", "upload_datetime": "2026-03-19T04:12:04.497119"}]}