 
 
 
 
 
 
 
  
 Next: 16.2 Volume Visualization with
 Up: 16.1 Scalar Field Visualization
 Previous: 16.1.7 Multiple Scalar Fields
Interactivity is an important feature available in all of these data
visualization techniques.  A visualization system becomes
dramatically more useful if the data set can be manipulated by the viewer,
especially in real-time.
Some important interaction features include:
- 1.
- 3D manipulation of the data space The viewer should be able
to rotate, scale, and zoom the data space. This makes it possible
	to clarify the relationship between data points, especially for
	3D data fields. 
- 2.
- Isolate a subset of the data The ability to zoom in and clip
	a subregion of the data set is important for analyzing the data
	as a series of smaller pieces. Allowing the user to simplify the
	scene by subsetting the data makes it possible to tag the subset
	with additional information without incurring excessive clutter.
- 3.
- Picking/Selecting data values Being able to pick a data value
	or small set of values is an important feature. The user can query
	a point, getting its exact value, without cluttering the entire
	scene with unnecessary details.
 
 
 
 
 
 
 
  
 Next: 16.2 Volume Visualization with
 Up: 16.1 Scalar Field Visualization
 Previous: 16.1.7 Multiple Scalar Fields
David Blythe
1999-08-06