# GeoDa

> Explore spatial patterns through linked maps and statistical analysis

GeoDa is an open-source application for exploring patterns in geographic data. Linked maps and charts connect individual observations with distributions and statistical results, helping users investigate spatial relationships. The toolkit includes spatial autocorrelation, local cluster maps, and basic spatial regression for point and polygon data.

It also offers methods such as principal component analysis, k-means, and spatially constrained clustering. Windows, macOS, and Linux versions support a range of vector data formats. Researchers can compare variables across linked views and time periods. The documentation recommends aggregating very large datasets into geographic areas before analysis, which helps define a suitable scale for a project.

## Listing details

- Canonical BetaNeon page: https://betaneon.com/products/geoda
- Official website: https://geodacenter.github.io/
- Category: Data & analytics / Maps & geospatial analysis
- Status: Launched
- Topics: Charts, GIS, Open source, Spatial analysis, Statistical analysis
- Listing updated: 2026-10-30T16:51:17.842Z
- Information source: https://geodacenter.github.io/

This is a product introduction, not an endorsement. Confirm current availability, features, and prices on the official website. Community upvotes on BetaNeon are not star ratings.