Discrete Mapping Using a .csv File and System

This task is an example of mapping using data from a .csv file.

Data in a .csv file can be based on a local coordinate system. The format of the .csv file is x, y, z, value1, value2, and so forth. The x, y, z data can be in a global or local system , including cylindrical.
The following mapping methods can also be selected:
  • Proximity
  • Linear Interpolation
  • Inverse Distance
  • Triangulation
  1. In the Model Browser, right-click and select Create > Field from the menu.
  2. In the Entity Editor, edit the field's corresponding attributes:
    1. Set Type to discrete.
    2. Set System Type to real.
    3. Set Source to .csv file.
    4. In the File field, locate the .csv file.
    5. In the Systems field, select the system. The system should match the x, y, z data in the .csv file.
  3. In the Model Browser, right-click on the field entity and select Realize from the menu.
  4. In the Field Realization dialog, define the realization settings:

    Figure 1.
    1. With the Entity selector, select nodes or elements that you would like to map.
    2. In the Field Type field, select a realization method.
    3. Set Interpolation to proximity (finds the closest nodes) or linear (finds nodes using the inverse distance average).
    4. In the Search Radius field, type a search radius.
    5. Click Apply.
    6. Click Contour to see the mapping.

      Figure 2.