GeoDa

About

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.

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

Screenshot

Related tools

GeoDjango

Django's geographic web framework for spatial models, queries, and GIS web apps.

91.4k

Apache ECharts

JavaScript visualization library with interactive charts, maps, and geographic data components.

67.5k

Leaflet

Leading open-source JavaScript library for mobile-friendly interactive maps. Simple and lightweight.

45.7k

CesiumJS

Open-source JavaScript library for world-class 3D globes and maps with WebGL.

15.8k