The latest version 1.20 contains multi-layer support, several new local cluster features, including univariate and multivariate local Geary cluster maps, redcap, skater, spectral clustering and max-p, and local join count maps for categorical data. The user community and press embraced the program enthusiastically, calling it a "hugely important analytic tool," a "very fine piece of software," and an "exciting development." This includes lab users at universities such as Harvard, MIT, and Cornell. Since its initial release in February 2003, GeoDa's user numbers have increased exponentially to over 360,000 (Sept.
To work with big data in GeoDa it should first be aggregated to areal units. The program provides a 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).
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