Exploring High-D Spaces with Multiform Matrices and Small Multiples By: Alan MacEachren, Xiping Dai, Frank Hardisty, Diansheng Guo, Gene Lengerich

Cancer Mortality Rates Age High income, Low cancer rate High income, High cancer rate Pennsylvania West Virginia Kentucky

Cancer Mortality Rates Scatter plots and maps side by side (multiform display) Aligned scale Multivariate display ...

Outline Introduction Main Multiform Representations Additional Features Critiques Demo

Introduction In 2001, Gehegam, MacEachren, Takatsuma and Macgill (+) developed GeoVista Mark Gahegan Alan MacEachren Masa Takatsuka James Macgill GeoVista in an open source visual programming environment (Java) GeoVista combines information visualization, exploratory data analysis and geovisualization Focus on multiform bivariate displays

Multiform Representations Standard Bivariate Representations

Multiform Representations Small Multiple Same context (e.g., age, location) Different content (breast/ carvical cencer)

Main Multiform Representations Bivariate Matrix Different context (age, breast cancer diagnosis, mammogram) Same content (breast cancer mortality rate) Selection controls

Additional Features Grid-based space-filling Conditioning - (no details) Selecting and Sorting Calculate maximum conditional entropy (remaining uncertainty) for each pair of attributes C A C A B D B D Order based on MST Preserve all hierarchical clusters E E G 3. Sub-select attributes manually or automatically G F F

Critiques Technical: Visualization: Installation requires old version of Java Virtual Machine Formatting the data is not trivial Visualization: Bivariate matrix display is overloaded Changing spatial data requires a new shape file