GeoDa is a graphical application for exploratory spatial data analysis, geovisualization, spatial autocorrelation and spatial modelling. It is designed to help users investigate spatial patterns and relationships without requiring a programming environment.
The software combines linked maps and statistical graphics with spatial statistics, clustering and regression tools. Views are linked, so selections made in a map or chart are reflected across other open views, making it easier to explore relationships between geography and data.
This is free and open source software.
Key Features
- Exploratory spatial data analysis through linked maps, charts and statistical views.
- Global and local spatial autocorrelation statistics including Moran’s I and local indicators of spatial association.
- Local Geary statistics and local join count analysis for categorical data.
- Differential Moran’s I for examining spatial clustering in changes over time.
- Spatial regression including spatial lag and spatial error models.
- Ordinary least squares regression with diagnostic statistics.
- Spatially constrained clustering methods including REDCAP, SKATER, max-p and spectral clustering.
- Non-spatial clustering and dimensionality-reduction techniques including k-means, hierarchical clustering and principal component analysis.
- HDBSCAN clustering.
- Multi-layer mapping for adding contextual geographic layers to analytical maps.
- Time Editor and Time Player for exploring spatial and temporal patterns across linked views.
- Basemap support for projected spatial data.
- Histogram, box plot, scatter plot, scatter plot matrix, bubble chart, parallel coordinate plot and conditional plots.
- Cartograms and thematic maps with configurable classifications.
- Nonparametric spatial correlogram for investigating distance thresholds of spatial correlation.
- Spatial weights creation and management.
- Supports shapefiles, GeoJSON, geodatabases, MapInfo, GML, KML and other vector formats supported through GDAL.
- Imports tabular data including CSV, DBF, XLS and ODS files and can convert coordinates to spatial datasets.
- Exports selected observations and converts between supported spatial data formats.
Website: geodacenter.github.io
Support:
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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