Selection and Data Analysis

There has been much work done already on selection in ParaViewIII. Previous discussion includes Selection_Use_Cases, Selection_In_ParaQ, Selection, Selection_Implementation and Integrating_Interactive_Selection. Several improvements need to be made before the upcoming full release in order to improve useability and fully support quantitative analysis. To put it simply, we want ParaView to have intuitive selection capabilities (note the plural) and we want it to be easy to filter and/or perform quantitative analysis on the results of a selection. Previous discussion of quantitative analysis in paraview includes PGraph_Implementation, Plot_Data_Pipeline, Statistics_View, Plot_View_Management, Data_Analysis_Design and Client_Side_Delivery.

The feature wish list

• Pick point in space (on surface) or type coords in.

• Picking by global ids, pedigree id, proc+cell/pt id.
  • We need to be able to choose a list of IDs manually. We'll start by letting user pick a single id.
  • We need to be able to manually refine the list of selected ids.
  • We will extend the element inspector to do this (or possibly the Statistics_View). We need to use ranges so that we don't explode millions of entries on a big dataset. This is especially true with frustum selection.

• Frustum (volume/deep) selection - this was in long long ago. It used vtkFrustumExtractor to extract all pts/cells in a frustum. GUI interface to choose what type of selection through a tiny model drop down next to selection button. {surface, frustum, or single point}

• Proposed updates to element inspector:
  • ids shown
  • enter in an id (or ids)
  • tab formating
  • grouped ranges instead of one line per element.

• Tie histogram to selection - choose bars in histogram and use the output as input to a threshold filter.

• Saving and reusing selection:
  • When we make a selection we should be able to reuse it.
    • ex 1) applying a filter to just the output of the selection.
    • ex 2) changing the resolution of a source that was selected and getting more cells out.
  • Should we save output of selection or input of selection? If we save the input to selection for surface selection, the results will be meaningless if the camera has been changed.We will save the output of the selection operator and reextract as necessary see [[Selection Types].

• Show selections in the pipeline view so we can apply multiple filters to the output of a selection. State saving and restoring may become an issue. We need to save all inputs to the selection to recreate.

• Need to be able to make props unpickable in the gui somehow.
  • Low level picking classes can do this, need to expose the pickable property on the gui.
  • Pipeline browser - seems natural to relate this to the EYE.
  • Purpose is for masking, so the existing pickable property may not be enough (as is if unpickable it is ignored entirely).Need a new actor flag that says render me as background/invisible or with ids.

• Data analysis - output of a selection should be immedately available for quantitative discovery.
  • Many filters will produce 1D rectgrid, all of which can be plotted.
  • Polydata with one vertex - example output of max.
  • Prefered/compatible viewtypes in XML say what output of each filter/source can and prefers to be. Have icons in pipeline browser that lets you hide/show each one.

• Anchoring selection in space or to ids (plot vals at location over time or plot vals of an id over time).

• Choice of interpolation or using nearest neighbor (probe vs pick).

• On screen id and value labelling - draw ids in the render window.
  • Have to be careful to use global ids in parallel for piece invariance.
  • Have to be careful not to clutter view with too much text - n% of pixels get a label.
  • Great to be able to display any particular attribute value (not just ids).

• Have to be able to select blocks within a multiblock dataset.

• Multiple selections (sub selections) (refining selections).

Selection Types

A vtkSelection is an abstract container for selection information. It is structured as a tree where each node has an vtkDataArray containing data, a vtkInformation object containing keys which explain the meaning of the data, and pointers to child nodes. The output of the color buffer selection algorithm (vtkVisibleCellSelector) contains nodes that have processor and actor indices and data arrays that contain cell and point indices. Paraview transforms this into nodes that contain client server ids and cell and point ids. To support the new features we are going to add to selection we need to flesh out the selection data structure to contain additional types of selection information and add additional selection extraction and conversion filters.

The proposed expansion to the content of the selection types are:

• Ids - These are mostly supported at present.
  • surface ids (aka output of visiblecellselector) proc+cell/pt ids
  • client server ids
  • globalids or pedigreeids similar to ids
• Frustum - bounds of a region of 3D space.
• Point in space - a single surface or interior point.
• Thresholds - data attribute values which can be extracted with a vtkThreshold filter.

Furthermore we will move vtkSelection from being a subclass of vtkObject to vtkDataObject. This will allow use to easily pass selections through the pipeline and make it easier to create filters that manipulate selections. This should help to streamline our existing selection and extraction infrastructure and make it more easy to add features in the future. In the future it is likely that vtkPicker and its subclasses will become filters that produce vtkSelections.