ParaView/Users Guide/VTK Data Model: Difference between revisions

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To use ParaView effectively, you need to understand the ParaView data model. Here, we will introduce the the VTK data model used by ParaView briefly. For more details, you can refer to one of the VTK books.
The most fundamental data structure in VTK is a data object. Data objects can either be scientific datasets such rectilinear grids or finite elements meshes (see below) or more abstract data structures such as graphs or trees. Since ParaView is geared toward scientific visualization, we will focus on the former and touch briefly on the latter when necessary.
Datasets are formed of smaller building blocks, mainly meshes and
* Mesh
* Points (geometry)
* A
== Uniform Rectilinear Grid (Image Data) ==
== Uniform Rectilinear Grid (Image Data) ==



Revision as of 20:00, 10 December 2010

To use ParaView effectively, you need to understand the ParaView data model. Here, we will introduce the the VTK data model used by ParaView briefly. For more details, you can refer to one of the VTK books.

The most fundamental data structure in VTK is a data object. Data objects can either be scientific datasets such rectilinear grids or finite elements meshes (see below) or more abstract data structures such as graphs or trees. Since ParaView is geared toward scientific visualization, we will focus on the former and touch briefly on the latter when necessary.

Datasets are formed of smaller building blocks, mainly meshes and

  • Mesh
  • Points (geometry)
  • A

Uniform Rectilinear Grid (Image Data)

ParaView UG Image.png

Rectilinear Grid

ParaView UG Rectilinear.png

Curvilinear Grid (Structured Grid)

ParaView UG Curvilinear.png

Polygonal Grid (Polydata)

ParaView UG Polydata.png

Unstructured Grid

ParaView UG Unstructured.png

Table

ParaView UG Table.png

Multiblock Dataset

ParaView UG Multiblock.png

AMR Dataset

ParaView UG AMR.png

Multipiece Dataset

ParaView UG Multipiece.png