---
id: access
version: "1.1.10.post3"
license: BSD 3-Clause
license_treatment: permissive
maintenance: active
---

# access — Calculate spatial accessibility metrics.

License: permissive · Maintenance: active · Downloads: 104.4K/mo

## What it is and 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.

You would use this package when you need to quantify service accessibility—for 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.

Use it for:

- 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.

## Worth the install?

AI-flagged interpretation of the facts above — verify before relying.

Calculates spatial accessibility metrics to measure how easily services can be reached from different locations using classical and novel methods.

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.

## Install

pip install access
uv add access
poetry add access

## Installing access

Before you install: Low friction install with a pure Python wheel. Active maintenance with recent commits and a stable production-ready status.

License in practice: BSD 3-Clause permissive license allows commercial and private use with minimal restrictions.

Quickstart:

pip install access

import access
# Use geopandas and pandas to load spatial data, then call accessibility measures
import geopandas as gpd
import pandas as pd

Requires Python 3.11 or later; geopandas and scipy must be installed for spatial operations.

Verify before relying:

- Specific accessibility measures available (classical vs. novel methods not detailed in excerpt)
- Performance characteristics with large datasets or high-dimensional spatial data
- Integration patterns with common GIS workflows beyond basic import

## Package facts

- License: BSD 3-Clause (permissive)
- Python support: supports_current
- Install friction: low
- Maintenance: active
- Downloads: 104.4K/month (top 15,000 on PyPI)
- Known vulnerabilities: none known

## Tags

spatial accessibility metrics, service access distance analysis, geographic accessibility measurement, spatial statistics GIS, location-based service reach, accessibility index calculation, proximity analysis geospatial, spatial-analysis, gis, accessibility-metrics

[View on SkillFed](https://skillfed.io/packages/access) · [View on PyPI](https://pypi.org/project/access/)