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

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

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

4. Outline Introduction Main Multiform Representations
Additional Features
Critiques
Demo

5. 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

6. Multiform Representations
Standard Bivariate Representations

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

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

9. 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

10. 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