{"name": "Final Distribution Point Coverage Analysis", "package_name": "fdp_coverage", "description": "Optimize population coverage for humanitarian (cash, in-kind) distribution points.", "about": "Distribution Point Coverage Tool is a QGIS plugin that helps humanitarian and development practitioners analyse and improve the spatial coverage of service and distribution networks.\r\n\r\nThe tool combines three simple inputs:\r\n- a CSV file with distribution point coordinates,\r\n- (WorldPop) population data (GeoTIFF or CSV), and\r\n- a planning area shapefile.\r\n\r\nIt allows users to create buffers, calculate how much of the population of a planning area is covered, and identify underserved areas. A population hotspot function highlights high-density clusters, supporting evidence-based prioritisation.\r\n\r\nOptimisation features suggest improved positions for overlapping or poorly located distribution points and can automatically place new points in uncovered high-population areas. All suggested locations can be manually adjusted in QGIS to reflect field knowledge and operational constraints.\r\n\r\nUSER GUIDE and HANDBOOK avaliable on the Plugin homepage (GitHub).", "homepage": "https://github.com/ksebipf-del/Distribution-point-coverage-analysis-tool/tree/main", "repository": "https://github.com/ksebipf-del/Distribution-point-coverage-analysis-tool.git", "tracker": "https://github.com/ksebipf-del/Distribution-point-coverage-analysis-tool.git", "author": "Sebastian Pfau", "tags": ["python", "analysis", "optimization", "population", "worldpop", "coverage", "humanitarian"], "downloads": 302, "latest_version": "1.1.0", "versions": [{"version": "1.1.0", "experimental": false, "qgis_min": "3.0.0", "qgis_max": "3.99.0", "downloads": 302, "uploaded_by": "seb1298", "upload_datetime": "2026-01-08T08:43:05.904516"}]}