{"categories":[{"label":"GIS","url":"https://skillfed.io/packages/category/scientific-engineering-gis"}],"enrichment":{"capability":"Calculates spatial accessibility metrics to measure how easily services can be reached from different locations using classical and novel methods.","skillfed_tags":["spatial-analysis","gis","accessibility-metrics"],"use_cases":["Measure hospital or healthcare facility accessibility for urban planning and equity analysis.","Analyze public transit accessibility to identify underserved neighborhoods.","Evaluate school or educational facility distribution and reachability across a region.","Assess food desert conditions by measuring distance to grocery stores or markets.","Support research on spatial inequality and service distribution patterns.","Benchmark accessibility improvements after infrastructure changes."],"what_it_does":"Access is a spatial analysis package that computes measures of how accessible services are from different geographic locations. It builds on geopandas, numpy, pandas, and scipy to work with spatial data and calculate both established and novel accessibility metrics. The package is part of the PySAL ecosystem and targets researchers, educators, and developers working with geographic information systems and spatial statistics.\n\nYou would use this package when you need to quantify service accessibility\u2014for instance, measuring how far residents are from hospitals, schools, or transit hubs, or analyzing whether service distribution is equitable across a region. It handles the spatial calculations required to turn geographic coordinates and service locations into accessibility indices.","worth_installing":"Yes. The package is actively maintained, has no known vulnerabilities, installs with low friction, and uses a permissive license. It fills a specific niche in spatial analysis with a stable API and clear documentation. Install it if you need to compute accessibility metrics; skip it if your workflow doesn't involve measuring service proximity."},"id":"access","links":{"html":"https://skillfed.io/packages/access","md":"https://skillfed.io/packages/access.md","pypi":"https://pypi.org/project/access/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2025-12-12","license_spdx":null,"license_treatment":"permissive","name":"access","python_support":"supports_current","summary":"Calculate spatial accessibility metrics."},"popularity":{"monthly_downloads":104415,"position":12750,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"1.1.10.post3"}