{"name": "Entrance Snapper", "package_name": "entrance_snapper", "description": "A professional-grade spatial analysis tool to identify and refine building entrances by snapping footprints to logical road infrastructure using architectural logic", "about": "The Entrance Snapper is designed for advanced urban accessibility modeling. Unlike standard proximity tools, it uses rule-based algorithms\u2014including road hierarchy weighting, cosine decay for wall alignment, and neighbor consensus\u2014to ensure address points represent true architectural entrances.", "homepage": "https://github.com/Complexity-Planning-Urbanism-CPUlab-MSA/EntranceSnapper", "repository": "https://github.com/Complexity-Planning-Urbanism-CPUlab-MSA/EntranceSnapper", "tracker": "https://github.com/Complexity-Planning-Urbanism-CPUlab-MSA/EntranceSnapper/issues", "author": "Roopendra Kumar. Kristen Zhao under MMU Research Accelerator Grant Project ID 5121135 (PI Kristen Zhao)", "tags": ["python", "architecture", "gis", "accessibility", "manchester", "urban design"], "downloads": 69, "latest_version": "0.1", "versions": [{"version": "0.1", "experimental": true, "qgis_min": "3.0.0", "qgis_max": "3.99.0", "downloads": 69, "uploaded_by": "Roop1309", "upload_datetime": "2026-06-16T04:17:54.682905"}]}