| A | B |
|---|
| Examples of scientific visualization | Engineering /Simulations/ Medical Imaging /Meteorology /Hydrology /Finance |
| Types of scientific visualization | Color coding/ Surface rendering/Volume rendering/Image analysis /Vector and Scalar /data analysis/ Parallel projections |
| Examples of informational visualization | Molecular models /CAD models /Medical imagery /2D MAP GIS |
| Linear data | usually sequential lists. A typical Internet search result would be an example. This is the least complex type of visualization |
| Temporal data | data uses time as the one dimension (i.e. timelines, animations, project timelines, and video representations). |
| Two dimensional data | (not to be confused with 2D representations) data is associated with geographic information systems, such as a map |
| Three dimensional data | is usually real world data, and is concerned with position and orientation. Visual reality is an example |
| Tree or hierarchical | Examples include classification systems, and parent child relationships |
| Task Gallery | The space is that of multiple rooms in which documents are ‘hung’ on walls until they are needed |
| Storytelling | deeply rooted in human history |
| Visual Data “Mining” | an automatic changing data system. Example is a working mode of the stock market that changed continually as priced rise and fall |
| SPIRE | a way to organize data in a spatial pattern |
| Galaxy Visualization | the image of stars in the night sky to represent a set of documents. |
| Theme View | the topics or themes within a set of documents are shown as a relief map of natural terrain |
| Theme River | The themes in the collection are represented by a "river" that flows left to right through time |
| Fractal Projections | Information is organized and viewed as fractal spaces |
| Catch | Computer Aided Tracking and Characterization of Homicides is a collection of tools that assist the crime analyst in the investigation process |
