# GeoDa

Canonical: https://gisforweb.com/tools/geoda/

Desktop application for exploratory spatial data analysis and spatial econometrics.

GeoDa is a desktop application for exploring spatial patterns in attribute data, developed by Luc Anselin and the GeoDa Center. It provides local spatial autocorrelation statistics such as Moran's I and Geary's C, spatial weights estimation, space-time pattern analysis and basic spatial regression, presented through linked map and chart views. Vector data is read and written through GDAL, and an R interface is available as rgeoda.

## Details

- Type: desktop-app

- Categories: analysis, visualization

- Open source: Yes

- Pricing model: open-source

- License: GPL-3.0

- Platforms: windows, macos, linux

## Features

- Local Moran, Geary and join count cluster maps

- Spatial weights matrices from contiguity or distance

- Space-time pattern analysis across multiple periods

- Spatial regression with model diagnostics

- Linked map and chart views for every statistic

- Reads vector formats through GDAL

## Project sources

- Website: https://geodacenter.github.io/

- Documentation: https://geodacenter.github.io/documentation

- Repository: https://github.com/GeoDaCenter/geoda

Directory descriptions are summaries. Verify current capabilities and terms with the project sources.