VTK/Tutorials/3DDataTypes: Difference between revisions

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==Image Data==
==Image Data==
Points are arranged on a regular, rectangular lattice parallel to the global coordinate system.
Points are arranged on a regular, rectangular lattice parallel to the global coordinate system. You only have to specify the origin ("bottom left corner") of the grid, and the spacing in each dimension. The grid is implicit, so you don't have to specify the coordinates of each point anywhere. You can define scalars or vectors at each point.


==Rectilinear Grid==
==Rectilinear Grid==
This is a slight extension of Image Data. The points are still aligned along the coordinate axis, but the spacing between points may vary.
This is a slight extension of Image Data. The points are still aligned along the coordinate axis, but the spacing between points may vary. The point coordinates are again implicit.


==Structured Grid==
==Structured Grid==
Regular topology and irregular geometry. That is, every point has a left, right, up, down, front, back neighbor. The points, however, do not lie on a grid!
Regular topology and irregular geometry. That is, every point has a left, right, up, down, front, back neighbor. The points, however, do not lie on a grid! You must explicitly indicate the coordinates of each point.


This data structure is common in finite difference analysis.
This data structure is common in finite difference analysis.


==Polygonal Data (PolyData)==
==Polygonal Data (PolyData)==
Unstructured topology and geometry. Supports 0,1, and 2D cells.
Unstructured topology and geometry. Supports 0,1, and 2D cells. You must explicitly indicate the coordinates of each point.


==Unstructured Grid==
==Unstructured Grid==
This is the most general form of data storage. Both topology and geometry are completely unstructured. Supports 0,1,2, and 3D cells.
This is the most general form of data storage. Both topology and geometry are completely unstructured. Supports 0,1,2, and 3D cells. You must explicitly indicate the coordinates of each point.

Revision as of 12:51, 17 February 2010

Image Data

Points are arranged on a regular, rectangular lattice parallel to the global coordinate system. You only have to specify the origin ("bottom left corner") of the grid, and the spacing in each dimension. The grid is implicit, so you don't have to specify the coordinates of each point anywhere. You can define scalars or vectors at each point.

Rectilinear Grid

This is a slight extension of Image Data. The points are still aligned along the coordinate axis, but the spacing between points may vary. The point coordinates are again implicit.

Structured Grid

Regular topology and irregular geometry. That is, every point has a left, right, up, down, front, back neighbor. The points, however, do not lie on a grid! You must explicitly indicate the coordinates of each point.

This data structure is common in finite difference analysis.

Polygonal Data (PolyData)

Unstructured topology and geometry. Supports 0,1, and 2D cells. You must explicitly indicate the coordinates of each point.

Unstructured Grid

This is the most general form of data storage. Both topology and geometry are completely unstructured. Supports 0,1,2, and 3D cells. You must explicitly indicate the coordinates of each point.