GeoDa is a free software package that conducts spatial data analysis, geovisualization, spatial autocorrelation and spatial modeling. It’s designed to offer new insights from data analysis by exploring and modeling spatial patterns.
GeoDa has powerful capabilities to perform spatial analysis, multivariate exploratory data analysis, and global and local spatial autocorrelation. It also performs basic linear regression. As for spatial models, both the spatial lag model and the spatial error model, both estimated by maximum likelihood, are included.
GeoDa was first released in 2002 by the NSF-funded Center for Spatially Integrated Social Science. It built upon a long history of software development for spatial analysis.
Key Features
- User-friendly and graphical interface to methods of exploratory spatial data analysis (ESDA), such as spatial autocorrelation statistics for aggregate data (several thousand records), and basic spatial regression analysis for point and polygon data (tens of thousands of records)
- Add multiple file formats like shapefile, GeoJSON, KML, SQLite and table format (CSV, XLS and DBF).
- Converts coordinates in table format (.csv, .dbf, .xls, .ods) to one of these spatial data formats and converts data between different file formats (such as .csv to .dbf or shapefile to GeoJSON).
- Cross-platform support – runs under Linux, Mac OS X, and Windows.
Website: geodacenter.github.io
Support: Documentation, GitHub Code Repository, YouTube videos
Developer: Dr. Luc Anselin and his team.
License: GNU General Public License v3.0
GeoDa is written in C++. Learn C++ with our recommended free books and free tutorials.
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| GeoDa | Exploratory data analysis and spatial regression |
| gbutils | Set of command line utilities for the manipulation and statistical analysis of data |
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