herhoegheg

Types of Data and Dimensionality in Scientific Visualization

The majority of data used for scientific visualization is what is called field data. That is, an entire field of data points is obtained or computed and then used as input to the visualization process.
Each point in field data has the following:
• The location in 1D, 2D, or 3D space where this point is located
• One or more data values (variables) associated with this point
For example, at the 3D point (x,y,z) = (14.2, 17.3, -21.0), the pressure, density, and temperature may be measured. Pressure, density, and temperature are the variables that were collected at that specific point in 3D space. With field data, the actual location in space of each point in the field must either be supplied or implied. For example, if the pressure was measured on a regular grid starting at (0,0,0) and continuing for 1 unit in each direction and ending at (40,20,16), the (x,y,z) location need not be included with the dat...