Introduction to GeoViz Toolkittry GeoViz Toolkit now!

GeoViz Toolkit interface, click for larger versionThe GeoViz Toolkit supports systematic analysis of spatial, temporal, and attribute data sets. It allows analysts to discover previously hidden patterns in data, moving from spatial patterns to statistical patterns and back again by mixing and matching data visualization components to quickly construct custom analysis tools. Components are automatically coordinated across multiple views to enable insight into highly multivariate data, especially geographically organized data. Potential applications range from research in public health (e.g., infectious disease dynamics or cancer etiology, surveillance, and control), through analysis of socioeconomic and demographic data in support of both research and public policy, to exploration of patterns of incidents related to terrorism or crime.

The Toolkit provides a large selection of mapping and statistical graphing components for depicting univariate and multivariate data in dynamically linked views. Univariate data is represented in histograms, statistical maps, and cartograms (a map form that scales places to match their data value). Relationships among pairs of variables are explored with bivariate maps and graphs, while multivariate relationships are explored using matrixes of views (with many variables in pairwise views) and multivariate glyphs. The matrixes can combine other graphs in novel ways.

Additionally, the components within the variety of available spatio-statistical views are automatically coordinated. Data loaded into one of the components is reflected in the rest and interaction in one view produces relevant actions or highlighting in other views, enabling analysts to quickly explore relationships among many attributes geographically, e.g., identifying unusual places.

The Toolkit was developed by Frank Hardisty, Aaron Myers, and Ke Liao at the University of South Carolina. In the GeoViz Toolkit, all of the components are coordinated with each other. For example, if you select a different set of variables in one component then that change will be reflected in all of the other components being used. The color scheme, however, is not coordinated between the different components.

To learn more about GeoViz Toolkit, and to download it yourself, please use the menu at left. If you have any questions or problems, please contact Frank Hardisty.