
'Property

'Description

'Default Value(s)

'Restrictions


Capping (Capping)'
If this property is on, the the boundary of the data set is capped

Only the values 0 and 1 are accepted


Isosurface (ContourValue)'
This property specifies the values at which to compute the isosurface

The value must lie within the range of the selected data array


Degenerate Cells (DegenerateCells)'
If this property is on, a transition mesh between levels is created

Only the values 0 and 1 are accepted


Input (Input)'


The selected object must be the result of the following: sources (includes readers), filters
The dataset must contain a cell array with 1 components
The selected dataset must be one of the following types (or a subclass of one of them): vtkCompositeDataSet


Merge Points (MergePoints)'
Use more memory to merge points on the boundaries of blocks

Only the values 0 and 1 are accepted


Multiprocess Communication (MultiprocessCommunication)'
If this property is off, each process executes independantly

Only the values 0 and 1 are accepted


Contour By (SelectInputScalars)'
This property specifies the name of the cell scalar array from which the contour filter will compute isolines and/or isosurfaces

An array of scalars is required


Skip Ghost Copy (SkipGhostCopy)'
A simple test to see if ghost values are already set properly

Only the values 0 and 1 are accepted


Triangulate (Triangulate)'
Use triangles instead of quads on capping surfaces

Only the values 0 and 1 are accepted

=AMR Dual Clip
Clip with scalars. Tetrahedra

'Property

'Description

'Default Value(s)

'Restrictions


Degenerate Cells (DegenerateCells)'
If this property is on, a transition mesh between levels is created

Only the values 0 and 1 are accepted


Input (Input)'


The selected object must be the result of the following: sources (includes readers), filters
The dataset must contain a cell array with 1 components
The selected dataset must be one of the following types (or a subclass of one of them): vtkCompositeDataSet


Merge Points (MergePoints)'
Use more memory to merge points on the boundaries of blocks

Only the values 0 and 1 are accepted


Multiprocess Communication (MultiprocessCommunication)'
If this property is off, each process executes independantly

Only the values 0 and 1 are accepted


Select Material Arrays (SelectMaterialArrays)'
This property specifies the cell arrays from which the clip filter wil
compute clipped cells

An array of scalars is required


Volume Fraction Value (VolumeFractionSurfaceValue)'
This property specifies the values at which to compute the isosurface

0.
The value must be greater than or equal to 0 and less than or equal to 1

=Annotate Time Filter
Shows input data time as text annnotation in the view
The Annotate Time filter can be used to show the data time in a text annotation.<br

'Property

'Description

'Default Value(s)

'Restrictions


Format (Format)'
The value of this property is a format string used to display the input time. The format string is specified using printf style

Time: %



Input (Input)'
This property specifies the input dataset for which to display the time

The selected object must be the result of the following: sources (includes readers), filters


Scale (Scale)'
The factor by which the input time is scaled




Shift (Shift)'
The amount of time the input is shifted (after scaling)



=Append Attributes
Copies geometry from first input. Puts all of the arrays into the output
The Append Attributes filter takes multiple input data sets with the same geometry and merges their point and cell attributes to produce a single output containing all the point and cell attributes of the inputs. Any inputs without the same number of points and cells as the first input are ignored. The input data sets must already be collected together, either as a result of a reader that loads multiple parts (e.g., EnSight reader) or because the Group Parts filter has been run to form a collection of data sets.<br

'Property

'Description

'Default Value(s)

'Restrictions


Input (Input)'
This property specifies the input to the Append Attributes filter

The selected object must be the result of the following: sources (includes readers), filters
The selected dataset must be one of the following types (or a subclass of one of them): vtkDataSet

=Append Datasets
Takes an input of multiple datasets and output has only one unstructured grid
The Append Datasets filter operates on multiple data sets of any type (polygonal, structured, etc.). It merges their geometry into a single data set. Only the point and cell attributes that all of the input data sets have in common will appear in the output. The input data sets must already be collected together, either as a result of a reader that loads multiple parts (e.g., EnSight reader) or because the Group Parts filter has been run to form a collection of data sets.<br

'Property

'Description

'Default Value(s)

'Restrictions


Input (Input)'
This property specifies the datasets to be merged into a single dataset by the Append Datasets filter

The selected object must be the result of the following: sources (includes readers), filters
The selected dataset must be one of the following types (or a subclass of one of them): vtkDataSet

=Append Geometry
Takes an input of multiple poly data parts and output has only one part
The Append Geometry filter operates on multiple polygonal data sets. It merges their geometry into a single data set. Only the point and cell attributes that all of the input data sets have in common will appear in the output.<br

'Property

'Description

'Default Value(s)

'Restrictions


Input (Input)'
Set the input to the Append Geometry filter

The selected object must be the result of the following: sources (includes readers), filters
The selected dataset must be one of the following types (or a subclass of one of them): vtkPolyData

=Block Scalars
The Level Scalars filter uses colors to show levels of a multiblock dataset
The Level Scalars filter uses colors to show levels of a multiblock dataset.<br

'Property

'Description

'Default Value(s)

'Restrictions


Input (Input)'
This property specifies the input to the Level Scalars filter

The selected object must be the result of the following: sources (includes readers), filters
The selected dataset must be one of the following types (or a subclass of one of them): vtkMultiBlockDataSet

=Calculator
Compute new attribute arrays as function of existing arrays
The Calculator filter computes a new data array or new point coordinates as a function of existing scalar or vector arrays. If pointcentered arrays are used in the computation of a new data array, the resulting array will also be pointcentered. Similarly, computations using cellcentered arrays will produce a new cellcentered array. If the function is computing point coordinates, the result of the function must be a threecomponent vector. The Calculator interface operates similarly to a scientific calculator. In creating the function to evaluate, the standard order of operations applies.<br
Each of the calculator functions is described below. Unless otherwise noted, enclose the operand in parentheses using the ( and ) buttons.<br
Clear: Erase the current function (displayed in the readonly text box above the calculator buttons).<br
/: Divide one scalar by another. The operands for this function are not required to be enclosed in parentheses.<br
 Multiply two scalars, or multiply a vector by a scalar (scalar multiple). The operands for this function are not required to be enclosed in parentheses.<br
: Negate a scalar or vector (unary minus), or subtract one scalar or vector from another. The operands for this function are not required to be enclosed in parentheses.<br
+: Add two scalars or two vectors. The operands for this function are not required to be enclosed in parentheses.<br
sin: Compute the sine of a scalar.<br
cos: Compute the cosine of a scalar.<br
tan: Compute the tangent of a scalar.<br
asin: Compute the arcsine of a scalar.<br
acos: Compute the arccosine of a scalar.<br
atan: Compute the arctangent of a scalar.<br
sinh: Compute the hyperbolic sine of a scalar.<br
cosh: Compute the hyperbolic cosine of a scalar.<br
tanh: Compute the hyperbolic tangent of a scalar.<br
min: Compute minimum of two scalars.<br
max: Compute maximum of two scalars.<br
x^y: Raise one scalar to the power of another scalar. The operands for this function are not required to be enclosed in parentheses.<br
sqrt: Compute the square root of a scalar.<br
e^x: Raise e to the power of a scalar.<br
log: Compute the logarithm of a scalar (deprecated. same as log10).<br
log10: Compute the logarithm of a scalar to the base 10.<br
ln: Compute the logarithm of a scalar to the base 'e'.<br
ceil: Compute the ceiling of a scalar.<br
floor: Compute the floor of a scalar.<br
abs: Compute the absolute value of a scalar.<br
v1.v2: Compute the dot product of two vectors. The operands for this function are not required to be enclosed in parentheses.<br
cross: Compute cross product of two vectors.<br
mag: Compute the magnitude of a vector.<br
norm: Normalize a vector.<br
The operands are described below.<br
The digits 0  9 and the decimal point are used to enter constant scalar values.<br
iHat, jHat, and kHat are vector constants representing unit vectors in the X, Y, and Z directions, respectively.<br
The scalars menu lists the names of the scalar arrays and the components of the vector arrays of either the pointcentered or cellcentered data. The vectors menu lists the names of the pointcentered or cellcentered vector arrays. The function will be computed for each point (or cell) using the scalar or vector value of the array at that point (or cell).<br
The filter operates on any type of data set, but the input data set must have at least one scalar or vector array. The arrays can be either pointcentered or cellcentered. The Calculator filter's output is of the same data set type as the input.<br

'Property

'Description

'Default Value(s)

'Restrictions


Attribute Mode (AttributeMode)'
This property determines whether the computation is to be performed on pointcentered or cellcentered data

The value must be one of the following: point_data (1), cell_data (2), field_data (5)


Coordinate Results (CoordinateResults)'
The value of this property determines whether the results of this computation should be used as point coordinates or as a new array

Only the values 0 and 1 are accepted


Function (Function)'
This property contains the equation for computing the new array




Input (Input)'
This property specifies the input dataset to the Calculator filter. The scalar and vector variables may be chosen from this dataset's arrays

The selected object must be the result of the following: sources (includes readers), filters
The selected dataset must be one of the following types (or a subclass of one of them): vtkDataSet


Replace Invalid Results (ReplaceInvalidValues)'
This property determines whether invalid values in the computation will be replaced with a specific value. (See the ReplacementValue property.

Only the values 0 and 1 are accepted


Replacement Value (ReplacementValue)'
If invalid values in the computation are to be replaced with another value, this property contains that value




Result Array Name (ResultArrayName)'
This property contains the name for the output array containing the result of this computation

Resul


=Cell Centers
Create a point (no geometry) at the center of each input cell
The Cell Centers filter places a point at the center of each cell in the input data set. The center computed is the parametric center of the cell, not necessarily the geometric or bounding box center. The cell attributes of the input will be associated with these newly created points of the output. You have the option of creating a vertex cell per point in the outpuut. This is useful because vertex cells are rendered, but points are not. The points themselves could be used for placing glyphs (using the Glyph filter). The Cell Centers filter takes any type of data set as input and produces a polygonal data set as output.<br

'Property

'Description

'Default Value(s)

'Restrictions


Input (Input)'
This property specifies the input to the Cell Centers filter

The selected object must be the result of the following: sources (includes readers), filters
The selected dataset must be one of the following types (or a subclass of one of them): vtkDataSet


Vertex Cells (VertexCells)'
If set to 1, a vertex cell will be generated per point in the output. Otherwise only points will be generated

Only the values 0 and 1 are accepted

=Cell Data to Point Data
Create point attributes by averaging cell attributes
The Cell Data to Point Data filter averages the values of the cell attributes of the cells surrounding a point to compute point attributes. The Cell Data to Point Data filter operates on any type of data set, and the output data set is of the same type as the input.<br

'Property

'Description

'Default Value(s)

'Restrictions


Input (Input)'
This property specifies the input to the Cell Data to Point Data filter

The selected object must be the result of the following: sources (includes readers), filters
The dataset must contain a cell array
The selected dataset must be one of the following types (or a subclass of one of them): vtkDataSet


Pass Cell Data (PassCellData)'
If this property is set to 1, then the input cell data is passed through to the output; otherwise, only the generated point data will be available in the output

Only the values 0 and 1 are accepted

=Clean
Merge coincident points if they do not meet a feature edge criteria
The Clean filter takes polygonal data as input and generates polygonal data as output. This filter can merge duplicate points, remove unused points, and transform degenerate cells into their appropriate forms (e.g., a triangle is converted into a line if two of its points are merged).<br

'Property

'Description

'Default Value(s)

'Restrictions


Absolute Tolerance (AbsoluteTolerance)'
If merging nearby points (see PointMerging property) and using absolute tolerance (see ToleranceIsAbsolute property), this property specifies the tolerance for performing merging in the spatial units of the input data set

The value must be greater than or equal to 0


Convert Lines To Points (ConvertLinesToPoints)'
If this property is set to 1, degenerate lines (a "line" whose endpoints are at the same spatial location) will be converted to points

Only the values 0 and 1 are accepted


Convert Polys To Lines (ConvertPolysToLines)'
If this property is set to 1, degenerate polygons (a "polygon" with only two distinct point coordinates) will be converted to lines

Only the values 0 and 1 are accepted


Convert Strips To Polys (ConvertStripsToPolys)'
If this property is set to 1, degenerate triangle strips (a triangle "strip" containing only one triangle) will be converted to triangles

Only the values 0 and 1 are accepted


Input (Input)'
Set the input to the Clean filter

The selected object must be the result of the following: sources (includes readers), filters
The selected dataset must be one of the following types (or a subclass of one of them): vtkPolyData


Piece Invariant (PieceInvariant)'
If this property is set to 1, the whole data set will be processed at once so that cleaning the data set always produces the same results. If it is set to 0, the data set can be processed one piece at a time, so it is not necessary for the entire data set to fit into memory; however the results are not guaranteed to be the same as they would be if the Piece invariant option was on. Setting this option to 0 may produce seams in the output dataset when ParaView is run in parallel

Only the values 0 and 1 are accepted


Point Merging (PointMerging)'
If this property is set to 1, then points will be merged if they are within the specified Tolerance or AbsoluteTolerance (see the Tolerance and AbsoluteTolerance propertys), depending on the value of the ToleranceIsAbsolute property. (See the ToleranceIsAbsolute property.) If this property is set to 0, points will not be merged

Only the values 0 and 1 are accepted


Tolerance (Tolerance)'
If merging nearby points (see PointMerging property) and not using absolute tolerance (see ToleranceIsAbsolute property), this property specifies the tolerance for performing merging as a fraction of the length of the diagonal of the bounding box of the input data set

The value must be greater than or equal to 0 and less than or equal to 1


Tolerance Is Absolute (ToleranceIsAbsolute)'
This property determines whether to use absolute or relative (a percentage of the bounding box) tolerance when performing point merging

Only the values 0 and 1 are accepted

=Clean to Grid
This filter merges points and converts the data set to unstructured grid
The Clean to Grid filter merges points that are exactly coincident. It also converts the data set to an unstructured grid. You may wish to do this if you want to apply a filter to your data set that is available for unstructured grids but not for the initial type of your data set (e.g., applying warp vector to volumetric data). The Clean to Grid filter operates on any type of data set.<br

'Property

'Description

'Default Value(s)

'Restrictions


Input (Input)'
This property specifies the input to the Clean to Grid filter

The selected object must be the result of the following: sources (includes readers), filters
The selected dataset must be one of the following types (or a subclass of one of them): vtkDataSet

=Clip
Clip with an implicit plane. Clipping does not reduce the dimensionality of the data set. The output data type of this filter is always an unstructured grid
The Clip filter cuts away a portion of the input data set using an implicit plane. This filter operates on all types of data sets, and it returns unstructured grid data on output.<br

'Property

'Description

'Default Value(s)

'Restrictions


Clip Type (ClipFunction)'
This property specifies the parameters of the clip function (an implicit plane) used to clip the dataset

The value must be set to one of the following: Plane, Box, Sphere, Scalar


Input (Input)'
This property specifies the dataset on which the Clip filter will operate

The selected object must be the result of the following: sources (includes readers), filters
The selected dataset must be one of the following types (or a subclass of one of them): vtkDataSet


Inside Out (InsideOut)'
If this property is set to 0, the clip filter will return that portion of the dataset that lies within the clip function. If set to 1, the portions of the dataset that lie outside the clip function will be returned instead

Only the values 0 and 1 are accepted


Scalars (SelectInputScalars)'
If clipping with scalars, this property specifies the name of the scalar array on which to perform the clip operation

An array of scalars is required
Valud array names will be chosen from point and cell data


Use Value As Offset (UseValueAsOffset)'
If UseValueAsOffset is true, Value is used as an offset parameter to the implicit function. Otherwise, Value is used only when clipping using a scalar array

Only the values 0 and 1 are accepted


Value (Value)'
If clipping with scalars, this property sets the scalar value about which to clip the dataset based on the scalar array chosen. (See SelectInputScalars.) If clipping with a clip function, this property specifies an offset from the clip function to use in the clipping operation. Neither functionality is currently available in ParaView's user interface

The value must lie within the range of the selected data array

=Clip Closed Surface
Clip a polygonal dataset with a plane to produce closed surface
This clip filter cuts away a portion of the input polygonal dataset using a plane to generate a new polygonal dataset.<br

'Property

'Description

'Default Value(s)

'Restrictions


Base Color (BaseColor)'
Specify the color for the faces from the input

0.1 0.1
The value must be greater than or equal to (0, 0, 0) and less than or equal to (1, 1, 1)


Clip Color (ClipColor)'
Specifiy the color for the capping faces (generated on the clipping interface)

1 0.11 0.
The value must be greater than or equal to (0, 0, 0) and less than or equal to (1, 1, 1)


Clipping Plane (ClippingPlane)'
This property specifies the parameters of the clipping plane used to clip the polygonal data

The value must be set to one of the following: Plane


Generate Cell Origins (GenerateColorScalars)'
Generate (cell) data for coloring purposes such that the newly generated cells (including capping faces and clipping outlines) can be distinguished from the input cells

Only the values 0 and 1 are accepted


Generate Faces (GenerateFaces)'
Generate polygonal faces in the output

Only the values 0 and 1 are accepted


Generate Outline (GenerateOutline)'
Generate clipping outlines in the output wherever an input face is cut by the clipping plane

Only the values 0 and 1 are accepted


Input (Input)'
This property specifies the dataset on which the Clip filter will operate

The selected object must be the result of the following: sources (includes readers), filters
The selected dataset must be one of the following types (or a subclass of one of them): vtkPolyData


Inside Out (InsideOut)'
If this flag is turned off, the clipper will return the portion of the data that lies within the clipping plane. Otherwise, the clipper will return the portion of the data that lies outside the clipping plane

Only the values 0 and 1 are accepted


Clipping Tolerance (Tolerance)'
Specify the tolerance for creating new points. A small value might incur degenerate triangles

1e0


=Compute Derivatives
This filter computes derivatives of scalars and vectors
CellDerivatives is a filter that computes derivatives of scalars and vectors at the center of cells. You can choose to generate different output including the scalar gradient (a vector), computed tensor vorticity (a vector), gradient of input vectors (a tensor), and strain matrix of the input vectors (a tensor); or you may choose to pass data through to the output.<br

'Property

'Description

'Default Value(s)

'Restrictions


Input (Input)'
This property specifies the input to the filter

The selected object must be the result of the following: sources (includes readers), filters
The selected dataset must be one of the following types (or a subclass of one of them): vtkDataSet


Output Tensor Type (OutputTensorType)'
This property controls how the filter works to generate tensor cell data. You can choose to compute the gradient of the input vectors, or compute the strain tensor of the vector gradient tensor. By default, the filter will take the gradient of the vector data to construct a tensor

The value must be one of the following: Nothing (0), Vector Gradient (1), Strain (2)


Output Vector Type (OutputVectorType)'
This property Controls how the filter works to generate vector cell data. You can choose to compute the gradient of the input scalars, or extract the vorticity of the computed vector gradient tensor. By default, the filter will take the gradient of the input scalar data

The value must be one of the following: Nothing (0), Scalar Gradient (1), Vorticity (2)


Scalars (SelectInputScalars)'
This property indicates the name of the scalar array to differentiate

An array of scalars is required


Vectors (SelectInputVectors)'
This property indicates the name of the vector array to differentiate

An array of vectors is required

=Connectivity
Mark connected components with integer point attribute array
The Connectivity filter assigns a region id to connected components of the input data set. (The region id is assigned as a point scalar value.) This filter takes any data set type as input and produces unstructured grid output.<br

'Property

'Description

'Default Value(s)

'Restrictions


Color Regions (ColorRegions)'
Controls the coloring of the connected regions

Only the values 0 and 1 are accepted


Extraction Mode (ExtractionMode)'
Controls the extraction of connected surfaces

The value must be one of the following: Extract Point Seeded Regions (1), Extract Cell Seeded Regions (2), Extract Specified Regions (3), Extract Largest Region (4), Extract All Regions (5), Extract Closes Point Region (6)


Input (Input)'
This property specifies the input to the Connectivity filter

The selected object must be the result of the following: sources (includes readers), filters
The selected dataset must be one of the following types (or a subclass of one of them): vtkDataSet

=Contingency Statistics
Compute a statistical model of a dataset and/or assess the dataset with a statistical model
This filter either computes a statistical model of a dataset or takes such a model as its second input. Then, the model (however it is obtained) may optionally be used to assess the input dataset.<br
This filter computes contingency tables between pairs of attributes. This result is a tabular bivariate probability distribution which serves as a Bayesianstyle prior model. Data is assessed by computing <br
 the probability of observing both variables simultaneously;<br
 the probability of each variable conditioned on the other (the two values need not be identical); and<br
 the pointwise mutual information (PMI)
<br
Finally, the summary statistics include the information entropy of the observations.<br

'Property

'Description

'Default Value(s)

'Restrictions


Attribute Mode (AttributeMode)'
Specify which type of field data the arrays will be drawn from

Valud array names will be chosen from point and cell data


Input (Input)'
The input to the filter. Arrays from this dataset will be used for computing statistics and/or assessed by a statistical model

The selected object must be the result of the following: sources (includes readers), filters
The dataset must contain a point or cell array
The selected dataset must be one of the following types (or a subclass of one of them): vtkImageData, vtkStructuredGrid, vtkPolyData, vtkUnstructuredGrid, vtkTable, vtkGraph


Model Input (ModelInput)'
A previouslycalculated model with which to assess a separate dataset. This input is optional

The selected object must be the result of the following: sources (includes readers), filters
The selected dataset must be one of the following types (or a subclass of one of them): vtkTable, vtkMultiBlockDataSet


Variables of Interest (SelectArrays)'
Choose arrays whose entries will be used to form observations for statistical analysis

An array of scalars is required


Task (Task)'
Specify the task to be performed: modeling and/or assessment
 "Statistics of all the data," creates an output table (or tables) summarizing the entire input dataset
 "Model a subset of the data," creates an output table (or tables) summarizing a randomlychosen subset of the input dataset
 "Assess the data with a model," adds attributes to the first input dataset using a model provided on the second input port; an
 "Model and assess the same data," is really just operations 2 and 3 above applied to the same input dataset. The model is first trained using a fraction of the input data and then the entire dataset is assessed using that model
When the task includes creating a model (i.e., tasks 2, and 4), you may adjust the fraction of the input dataset used for training. You should avoid using a large fraction of the input data for training as you will then not be able to detect overfitting. The Training fraction setting will be ignored for tasks 1 and 3

The value must be one of the following: Statistics of all the data (0), Model a subset of the data (1), Assess the data with a model (2), Model and assess the same data (3)


Training Fraction (TrainingFraction)'
Specify the fraction of values from the input dataset to be used for model fitting. The exact set of values is chosen at random from the dataset

0.
The value must be greater than or equal to 0 and less than or equal to 1

=Contour
Generate isolines or isosurfaces using point scalars
The Contour filter computes isolines or isosurfaces using a selected pointcentered scalar array. The Contour filter operates on any type of data set, but the input is required to have at least one pointcentered scalar (singlecomponent) array. The output of this filter is polygonal.<br

'Property

'Description

'Default Value(s)

'Restrictions


Compute Gradients (ComputeGradients)'
If this property is set to 1, a scalar array containing a gradient value at each point in the isosurface or isoline will be created by this filter; otherwise an array of gradients will not be computed. This operation is fairly expensive both in terms of computation time and memory required, so if the output dataset produced by the contour filter will be processed by filters that modify the dataset's topology or geometry, it may be wise to set the value of this property to 0. Not that if ComputeNormals is set to 1, then gradients will have to be calculated, but they will only be stored in the output dataset if ComputeGradients is also set to 1

Only the values 0 and 1 are accepted


Compute Normals (ComputeNormals)'
If this property is set to 1, a scalar array containing a normal value at each point in the isosurface or isoline will be created by the contour filter; otherwise an array of normals will not be computed. This operation is fairly expensive both in terms of computation time and memory required, so if the output dataset produced by the contour filter will be processed by filters that modify the dataset's topology or geometry, it may be wise to set the value of this property to 0
Select whether to compute normals

Only the values 0 and 1 are accepted


Compute Scalars (ComputeScalars)'
If this property is set to 1, an array of scalars (containing the contour value) will be added to the output dataset. If set to 0, the output will not contain this array

Only the values 0 and 1 are accepted


Isosurfaces (ContourValues)'
This property specifies the values at which to compute isosurfaces/isolines and also the number of such values

The value must lie within the range of the selected data array


Input (Input)'
This property specifies the input dataset to be used by the contour filter

The selected object must be the result of the following: sources (includes readers), filters
The dataset must contain a point or cell array with 1 components
The selected dataset must be one of the following types (or a subclass of one of them): vtkDataSet


Point Merge Method (Locator)'
This property specifies an incremental point locator for merging duplicate / coincident points

The selected object must be the result of the following: incremental_point_locators
The value must be set to one of the following: MergePoints, IncrementalOctreeMergePoints, NonMergingPointLocator


Contour By (SelectInputScalars)'
This property specifies the name of the scalar array from which the contour filter will compute isolines and/or isosurfaces

An array of scalars is required
Valud array names will be chosen from point and cell data

=Cosmology FOF Halo Finder
Sorry, no help is currently available

'Property

'Description

'Default Value(s)

'Restrictions


bb (linking length/distance) (BB)'
Linking length measured in units of interparticle spacing and is dimensionless. Used to link particles into halos for the friendofafriend algorithm

0.
The value must be greater than or equal to 0


Compute the most bound particle for halos (ComputeMostBoundParticle)'
If checked, the most bound particle will be calculated. This can be very slow

Only the values 0 and 1 are accepted


Compute the most connected particle for halos (ComputeMostConnectedParticle)'
If checked, the most connected particle will be calculated. This can be very slow

Only the values 0 and 1 are accepted


Copy halo catalog information to original particles (CopyHaloDataToParticles)'
If checked, the halo catalog information will be copied to the original particles as well

Only the values 0 and 1 are accepted


Halo position for 3D visualization (HaloPositionType)'
This sets the position for the halo catalog particles (second output) in 3D space for visualization. Input particle positions (first output) will be unaltered by this. MBP and MCP for particle positions can potentially take a very long time to calculate

The value must be one of the following: Average (0), Center of Mass (1), Most Bound Particle (2), Most Connected Particle (3)


Input (Input)'


The selected object must be the result of the following: sources (includes readers), filters
The selected dataset must be one of the following types (or a subclass of one of them): vtkUnstructuredGrid


np (number of seeded particles in one dimension, i.e., total particles = np^3) (NP)'
Number of seeded particles in one dimension. Therefore, total simulation particles is np^3 (cubed)

25
The value must be greater than or equal to 0


overlap (shared point/ghost cell gap distance) (Overlap)'
The space in rL units to extend processor particle ownership for ghost particles/cells. Needed for correct halo calculation when halos cross processor boundaries in parallel computation

The value must be greater than or equal to 0


pmin (minimum particle threshold for a halo) (PMin)'
Minimum number of particles (threshold) needed before a group is called a halo

1
The value must be greater than or equal to 1


rL (physical box side length) (RL)'
The box side length used to wrap particles around if they exceed rL (or less than 0) in any dimension (only positive positions are allowed in the input, or the are wrapped around)

90.140
The value must be greater than or equal to 0

=Curvature
This filter will compute the Gaussian or mean curvature of the mesh at each point
The Curvature filter computes the curvature at each point in a polygonal data set. This filter supports both Gaussian and mean curvatures.
<br
 the type can be selected from the Curvature type menu button.<br

'Property

'Description

'Default Value(s)

'Restrictions


Curvature Type (CurvatureType)'
This propery specifies which type of curvature to compute

The value must be one of the following: Gaussian (0), Mean (1)


Input (Input)'
This property specifies the input to the Curvature filter

The selected object must be the result of the following: sources (includes readers), filters
The selected dataset must be one of the following types (or a subclass of one of them): vtkPolyData


Invert Mean Curvature (InvertMeanCurvature)'
If this property is set to 1, the mean curvature calculation will be inverted. This is useful for meshes with inwardpointing normals

Only the values 0 and 1 are accepted

=D3
Repartition a data set into loadbalanced spatially convex regions. Create ghost cells if requested
The D3 filter is available when ParaView is run in parallel. It operates on any type of data set to evenly divide it across the processors into spatially contiguous regions. The output of this filter is of type unstructured grid.<br

'Property

'Description

'Default Value(s)

'Restrictions


Boundary Mode (BoundaryMode)'
This property determines how cells that lie on processor boundaries are handled. The "Assign cells uniquely" option assigns each boundary cell to exactly one process, which is useful for isosurfacing. Selecting "Duplicate cells" causes the cells on the boundaries to be copied to each process that shares that boundary. The "Divide cells" option breaks cells across process boundary lines so that pieces of the cell lie in different processes. This option is useful for volume rendering

The value must be one of the following: Assign cells uniquely (0), Duplicate cells (1), Divide cells (2)


Input (Input)'
This property specifies the input to the D3 filter

The selected object must be the result of the following: sources (includes readers), filters
The selected dataset must be one of the following types (or a subclass of one of them): vtkDataSet


Minimal Memory (UseMinimalMemory)'
If this property is set to 1, the D3 filter requires communication routines to use minimal memory than without this restriction

Only the values 0 and 1 are accepted

=Decimate
Simplify a polygonal model using an adaptive edge collapse algorithm. This filter works with triangles only
The Decimate filter reduces the number of triangles in a polygonal data set. Because this filter only operates on triangles, first run the Triangulate filter on a dataset that contains polygons other than triangles.<br

'Property

'Description

'Default Value(s)

'Restrictions


Boundary Vertex Deletion (BoundaryVertexDeletion)'
If this property is set to 1, then vertices on the boundary of the dataset can be removed. Setting the value of this property to 0 preserves the boundary of the dataset, but it may cause the filter not to reach its reduction target

Only the values 0 and 1 are accepted


Feature Angle (FeatureAngle)'
The value of thie property is used in determining where the data set may be split. If the angle between two adjacent triangles is greater than or equal to the FeatureAngle value, then their boundary is considered a feature edge where the dataset can be split

1
The value must be greater than or equal to 0 and less than or equal to 180


Input (Input)'
This property specifies the input to the Decimate filter

The selected object must be the result of the following: sources (includes readers), filters
The selected dataset must be one of the following types (or a subclass of one of them): vtkPolyData


Preserve Topology (PreserveTopology)'
If this property is set to 1, decimation will not split the dataset or produce holes, but it may keep the filter from reaching the reduction target. If it is set to 0, better reduction can occur (reaching the reduction target), but holes in the model may be produced

Only the values 0 and 1 are accepted


Target Reduction (TargetReduction)'
This property specifies the desired reduction in the total number of polygons in the output dataset. For example, if the TargetReduction value is 0.9, the Decimate filter will attempt to produce an output dataset that is 10% the size of the input.

0.
The value must be greater than or equal to 0 and less than or equal to 1

=Delaunay 2D
Create 2D Delaunay triangulation of input points. It expects a vtkPointSet as input and produces vtkPolyData as output. The points are expected to be in a mostly planar distribution
Delaunay2D is a filter that constructs a 2D Delaunay triangulation from a list of input points. These points may be represented by any dataset of type vtkPointSet and subclasses. The output of the filter is a polygonal dataset containing a triangle mesh.
<br
The 2D Delaunay triangulation is defined as the triangulation that satisfies the Delaunay criterion for ndimensional simplexes (in this case n=2 and the simplexes are triangles). This criterion states that a circumsphere of each simplex in a triangulation contains only the n+1 defining points of the simplex. In two dimensions, this translates into an optimal triangulation. That is, the maximum interior angle of any triangle is less than or equal to that of any possible triangulation.
<br
Delaunay triangulations are used to build topological structures from unorganized (or unstructured) points. The input to this filter is a list of points specified in 3D, even though the triangulation is 2D. Thus the triangulation is constructed in the xy plane, and the z coordinate is ignored (although carried through to the output). You can use the option ProjectionPlaneMode in order to compute the bestfitting plane to the set of points, project the points and that plane and then perform the triangulation using their projected positions and then use it as the plane in which the triangulation is performed.
<br
The Delaunay triangulation can be numerically sensitive in some cases. To prevent problems, try to avoid injecting points that will result in triangles with bad aspect ratios (1000:1 or greater). In practice this means inserting points that are "widely dispersed", and enables smooth transition of triangle sizes throughout the mesh. (You may even want to add extra points to create a better point distribution.) If numerical problems are present, you will see a warning message to this effect at the end of the triangulation process.
<br
Warning:<br
Points arranged on a regular lattice (termed degenerate cases) can be triangulated in more than one way (at least according to the Delaunay criterion). The choice of triangulation (as implemented by this algorithm) depends on the order of the input points. The first three points will form a triangle; other degenerate points will not break this triangle.
<br
Points that are coincident (or nearly so) may be discarded by the algorithm. This is because the Delaunay triangulation requires unique input points. The output of the Delaunay triangulation is supposedly a convex hull. In certain cases this implementation may not generate the convex hull.<br

'Property

'Description

'Default Value(s)

'Restrictions


Alpha (Alpha)'
The value of this property controls the output of this filter. For a nonzero alpha value, only edges or triangles contained within a sphere centered at mesh vertices will be output. Otherwise, only triangles will be output

The value must be greater than or equal to 0


Bounding Triangulation (BoundingTriangulation)'
If this property is set to 1, bounding triangulation points (and associated triangles) are included in the output. These are introduced as an initial triangulation to begin the triangulation process. This feature is nice for debugging output

Only the values 0 and 1 are accepted


Input (Input)'
This property specifies the input dataset to the Delaunay 2D filter

The selected object must be the result of the following: sources (includes readers), filters
The selected dataset must be one of the following types (or a subclass of one of them): vtkPointSet


Offset (Offset)'
This property is a multiplier to control the size of the initial, bounding Delaunay triangulation

The value must be greater than or equal to 0.75


Projection Plane Mode (ProjectionPlaneMode)'
This property determines type of projection plane to use in performing the triangulation

The value must be one of the following: XY Plane (0), BestFitting Plane (2)


Tolerance (Tolerance)'
This property specifies a tolerance to control discarding of closely spaced points. This tolerance is specified as a fraction of the diagonal length of the bounding box of the points

1e0
The value must be greater than or equal to 0 and less than or equal to 1

=Delaunay 3D
Create a 3D Delaunay triangulation of input points. It expects a vtkPointSet as input and produces vtkUnstructuredGrid as output
Delaunay3D is a filter that constructs a 3D Delaunay triangulation<br
from a list of input points. These points may be represented by any<br
dataset of type vtkPointSet and subclasses. The output of the filter<br
is an unstructured grid dataset. Usually the output is a tetrahedral<br
mesh, but if a nonzero alpha distance value is specified (called<br
the "alpha" value), then only tetrahedra, triangles, edges, and<br
vertices lying within the alpha radius are output. In other words,<br
nonzero alpha values may result in arbitrary combinations of<br
tetrahedra, triangles, lines, and vertices. (The notion of alpha<br
value is derived from Edelsbrunner's work on "alpha shapes".)
<br
The 3D Delaunay triangulation is defined as the triangulation that<br
satisfies the Delaunay criterion for ndimensional simplexes (in<br
this case n=3 and the simplexes are tetrahedra). This criterion<br
states that a circumsphere of each simplex in a triangulation<br
contains only the n+1 defining points of the simplex. (See text for<br
more information.) While in two dimensions this translates into an<br
"optimal" triangulation, this is not true in 3D, since a measurement<br
for optimality in 3D is not agreed on.
<br
Delaunay triangulations are used to build topological structures<br
from unorganized (or unstructured) points. The input to this filter<br
is a list of points specified in 3D. (If you wish to create 2D<br
triangulations see Delaunay2D.) The output is an unstructured<br
grid.
<br
The Delaunay triangulation can be numerically sensitive. To prevent<br
problems, try to avoid injecting points that will result in<br
triangles with bad aspect ratios (1000:1 or greater). In practice<br
this means inserting points that are "widely dispersed", and enables<br
smooth transition of triangle sizes throughout the mesh. (You may<br
even want to add extra points to create a better point<br
distribution.) If numerical problems are present, you will see a<br
warning message to this effect at the end of the triangulation<br
process.
<br
Warning:<br
Points arranged on a regular lattice (termed degenerate cases) can<br
be triangulated in more than one way (at least according to the<br
Delaunay criterion). The choice of triangulation (as implemented by<br
this algorithm) depends on the order of the input points. The first<br
four points will form a tetrahedron; other degenerate points<br
(relative to this initial tetrahedron) will not break it.
<br
Points that are coincident (or nearly so) may be discarded by the<br
algorithm. This is because the Delaunay triangulation requires<br
unique input points. You can control the definition of coincidence<br
with the "Tolerance" instance variable.
<br
The output of the Delaunay triangulation is supposedly a convex<br
hull. In certain cases this implementation may not generate the<br
convex hull. This behavior can be controlled by the Offset instance<br
variable. Offset is a multiplier used to control the size of the<br
initial triangulation. The larger the offset value, the more likely<br
you will generate a convex hull; and the more likely you are to see<br
numerical problems.
<br
The implementation of this algorithm varies from the 2D Delaunay<br
algorithm (i.e., Delaunay2D) in an important way. When points are<br
injected into the triangulation, the search for the enclosing<br
tetrahedron is quite different. In the 3D case, the closest<br
previously inserted point point is found, and then the connected<br
tetrahedra are searched to find the containing one. (In 2D, a "walk"<br
towards the enclosing triangle is performed.) If the triangulation<br
is Delaunay, then an enclosing tetrahedron will be found. However,<br
in degenerate cases an enclosing tetrahedron may not be found and<br
the point will be rejected.<br

'Property

'Description

'Default Value(s)

'Restrictions


Alpha (Alpha)'
This property specifies the alpha (or distance) value to contro
the output of this filter. For a nonzero alpha value, onl
edges, faces, or tetra contained within the circumsphere (o
radius alpha) will be output. Otherwise, only tetrahedra will b
output

The value must be greater than or equal to 0


Bounding Triangulation (BoundingTriangulation)'
This boolean controls whether bounding triangulation points (an
associated triangles) are included in the output. (These ar
introduced as an initial triangulation to begin the triangulatio
process. This feature is nice for debugging output.

Only the values 0 and 1 are accepted


Input (Input)'
This property specifies the input dataset to the Delaunay 3D filter

The selected object must be the result of the following: sources (includes readers), filters
The selected dataset must be one of the following types (or a subclass of one of them): vtkPointSet


Offset (Offset)'
This property specifies a multiplier to control the size of th
initial, bounding Delaunay triangulation

2.
The value must be greater than or equal to 2.5


Tolerance (Tolerance)'
This property specifies a tolerance to control discarding o
closely spaced points. This tolerance is specified as a fractio
of the diagonal length of the bounding box of the points

0.00
The value must be greater than or equal to 0 and less than or equal to 1

=Descriptive Statistics
Compute a statistical model of a dataset and/or assess the dataset with a statistical model
This filter either computes a statistical model of a dataset or takes such a model as its second input. Then, the model (however it is obtained) may optionally be used to assess the input dataset
<br
This filter computes the min, max, mean, raw moments M2 through M4, standard deviation, skewness, and kurtosis for each array you select
<br
The model is simply a univariate Gaussian distribution with the mean and standard deviation provided. Data is assessed using this model by detrending the data (i.e., subtracting the mean) and then dividing by the standard deviation. Thus the assessment is an array whose entries are the number of standard deviations from the mean that each input point lies.<br

'Property

'Description

'Default Value(s)

'Restrictions


Attribute Mode (AttributeMode)'
Specify which type of field data the arrays will be drawn from

Valud array names will be chosen from point and cell data


Input (Input)'
The input to the filter. Arrays from this dataset will be used for computing statistics and/or assessed by a statistical model

The selected object must be the result of the following: sources (includes readers), filters
The dataset must contain a point or cell array
The selected dataset must be one of the following types (or a subclass of one of them): vtkImageData, vtkStructuredGrid, vtkPolyData, vtkUnstructuredGrid, vtkTable, vtkGraph


Model Input (ModelInput)'
A previouslycalculated model with which to assess a separate dataset. This input is optional

The selected object must be the result of the following: sources (includes readers), filters
The selected dataset must be one of the following types (or a subclass of one of them): vtkTable, vtkMultiBlockDataSet


Variables of Interest (SelectArrays)'
Choose arrays whose entries will be used to form observations for statistical analysis

An array of scalars is required


Deviations should be (SignedDeviations)'
Should the assessed values be signed deviations or unsigned

The value must be one of the following: Unsigned (0), Signed (1)


Task (Task)'
Specify the task to be performed: modeling and/or assessment
 "Statistics of all the data," creates an output table (or tables) summarizing the entire input dataset
 "Model a subset of the data," creates an output table (or tables) summarizing a randomlychosen subset of the input dataset
 "Assess the data with a model," adds attributes to the first input dataset using a model provided on the second input port; an
 "Model and assess the same data," is really just operations 2 and 3 above applied to the same input dataset. The model is first trained using a fraction of the input data and then the entire dataset is assessed using that model
When the task includes creating a model (i.e., tasks 2, and 4), you may adjust the fraction of the input dataset used for training. You should avoid using a large fraction of the input data for training as you will then not be able to detect overfitting. The Training fraction setting will be ignored for tasks 1 and 3

The value must be one of the following: Statistics of all the data (0), Model a subset of the data (1), Assess the data with a model (2), Model and assess the same data (3)


Training Fraction (TrainingFraction)'
Specify the fraction of values from the input dataset to be used for model fitting. The exact set of values is chosen at random from the dataset

0.
The value must be greater than or equal to 0 and less than or equal to 1

=Elevation
Create point attribute array by projecting points onto an elevation vector
The Elevation filter generates point scalar values for an input dataset along a specified direction vector.
<br
The Input menu allows the user to select the data set to which this filter will be applied. Use the Scalar range entry boxes to specify the minimum and maximum scalar value to be generated. The Low Point and High Point define a line onto which each point of the data set is projected. The minimum scalar value is associated with the Low Point, and the maximum scalar value is associated with the High Point. The scalar value for each point in the data set is determined by the location along the line to which that point projects.<br

'Property

'Description

'Default Value(s)

'Restrictions


High Point (HighPoint)'
This property defines the other end of the direction vector (large scalar values)

0 0
The coordinate must lie within the bounding box of the dataset. It will default to the maximum in each dimension


Input (Input)'
This property specifies the input dataset to the Elevation filter

The selected object must be the result of the following: sources (includes readers), filters
The selected dataset must be one of the following types (or a subclass of one of them): vtkDataSet


Low Point (LowPoint)'
This property defines one end of the direction vector (small scalar values)

0 0
The coordinate must lie within the bounding box of the dataset. It will default to the minimum in each dimension


Scalar Range (ScalarRange)'
This property determines the range into which scalars will be mapped

0


This filter extracts a list of datasets from hierarchical datasets
This filter extracts a list of datasets from hierarchical datasets.<br

'Property

'Description

'Default Value(s)

'Restrictions


Input (Input)'
This property specifies the input to the Extract Datasets filter

The selected object must be the result of the following: sources (includes readers), filters
The selected dataset must be one of the following types (or a subclass of one of them): vtkHierarchicalBoxDataSet


Selected Data Sets (SelectedDataSets)'
This property provides a list of datasets to extract



This filter extracts a range of blocks from a multiblock dataset
This filter extracts a range of groups from a multiblock dataset<br

'Property

'Description

'Default Value(s)

'Restrictions


Block Indices (BlockIndices)'
This property lists the ids of the blocks to extrac
from the input multiblock dataset




Input (Input)'
This property specifies the input to the Extract Group filter

The selected object must be the result of the following: sources (includes readers), filters
The selected dataset must be one of the following types (or a subclass of one of them): vtkMultiBlockDataSet


Maintain Structure (MaintainStructure)'
This is used only when PruneOutput is ON. By default, when pruning th
output i.e. remove empty blocks, if node has only 1 nonnull chil
block, then that node is removed. To preserve these parent nodes, se
this flag to true

Only the values 0 and 1 are accepted


Prune Output (PruneOutput)'
When set, the output mutliblock dataset will be pruned to remove empt
nodes. On by default

Only the values 0 and 1 are accepted

Create a surface from a CTH volume fraction
Extract CTH Parts is a specialized filter for visualizing the data from a CTH simulation. It first converts the selected cellcentered arrays to pointcentered ones. It then contours each array at a value of 0.5. The user has the option of clipping the resulting surface(s) with a plane. This filter only operates on unstructured data. It produces polygonal output.<br

'Property

'Description

'Default Value(s)

'Restrictions


Double Volume Arrays (AddDoubleVolumeArrayName)'
This property specifies the name(s) of the volume fraction array(s) for generating parts

An array of scalars is required


Float Volume Arrays (AddFloatVolumeArrayName)'
This property specifies the name(s) of the volume fraction array(s) for generating parts

An array of scalars is required


Unsigned Character Volume Arrays (AddUnsignedCharVolumeArrayName)'
This property specifies the name(s) of the volume fraction array(s) for generating parts

An array of scalars is required


Clip Type (ClipPlane)'
This property specifies whether to clip the dataset, and if so, it also specifies the parameters of the plane with which to clip

The value must be set to one of the following: None, Plane, Box, Sphere


Input (Input)'
This property specifies the input to the Extract CTH Parts filter

The selected object must be the result of the following: sources (includes readers), filters
The dataset must contain a cell array with 1 components
The selected dataset must be one of the following types (or a subclass of one of them): vtkDataSet


Volume Fraction Value (VolumeFractionSurfaceValue)'
The value of this property is the volume fraction value for the surface

0.
The value must be greater than or equal to 0 and less than or equal to 1

This filter extracts cells that are inside/outside a region or at a region boundary
This filter extracts from its input dataset all cells that are either completely inside or outside of a specified region (implicit function). On output, the filter generates an unstructured grid.<br
To use this filter you must specify a region (implicit function). You must also specify whethter to extract cells lying inside or outside of the region. An option exists to extract cells that are neither inside or outside (i.e., boundary).<br

'Property

'Description

'Default Value(s)

'Restrictions


Extract intersected (Extract intersected)'
This parameter controls whether to extract cells that are on the boundary of the region

Only the values 0 and 1 are accepted


Extract only intersected (Extract only intersected)'
This parameter controls whether to extract only cells that are on the boundary of the region. If this parameter is set, the Extraction Side parameter is ignored. If Extract Intersected is off, this parameter has no effect

Only the values 0 and 1 are accepted


Extraction Side (ExtractInside)'
This parameter controls whether to extract cells that are inside or outside the region

The value must be one of the following: outside (0), inside (1)


Intersect With (ImplicitFunction)'
This property sets the region used to extract cells

The value must be set to one of the following: Plane, Box, Sphere


Input (Input)'
This property specifies the input to the Slice filter

The selected object must be the result of the following: sources (includes readers), filters
The selected dataset must be one of the following types (or a subclass of one of them): vtkDataSet

Extract edges of 2D and 3D cells as lines
The Extract Edges filter produces a wireframe version of the input dataset by extracting all the edges of the dataset's cells as lines. This filter operates on any type of data set and produces polygonal output.<br

'Property

'Description

'Default Value(s)

'Restrictions


Input (Input)'
This property specifies the input to the Extract Edges filter

The selected object must be the result of the following: sources (includes readers), filters
The selected dataset must be one of the following types (or a subclass of one of them): vtkDataSet

This filter extracts a range of groups from a hierarchical dataset
This filter extracts a range of levels from a hierarchical dataset<br

'Property

'Description

'Default Value(s)

'Restrictions


Input (Input)'
This property specifies the input to the Extract Group filter

The selected object must be the result of the following: sources (includes readers), filters
The selected dataset must be one of the following types (or a subclass of one of them): vtkHierarchicalBoxDataSet


Levels (Levels)'
This property lists the levels to extrac
from the input hierarchical dataset



Extract different type of selections
This filter extracts a set of cells/points given a selection.<br
The selection can be obtained from a rubberband selection<br
(either cell, visible or in a frustum) or threshold selection<br
and passed to the filter or specified by providing an ID list.<br

'Property

'Description

'Default Value(s)

'Restrictions


Input (Input)'
This property specifies the input from which the selection is extracted

The selected object must be the result of the following: sources (includes readers), filters
The selected dataset must be one of the following types (or a subclass of one of them): vtkDataSet, vtkTable


Preserve Topology (PreserveTopology)'
If this property is set to 1 the output preserves the topology of it
input and adds an insidedness array to mark which cells are inside o
out. If 0 then the output is an unstructured grid which contains onl
the subset of cells that are inside

Only the values 0 and 1 are accepted


Selection (Selection)'
The input that provides the selection object

The selected object must be the result of the following: sources (includes readers), filters
The selected dataset must be one of the following types (or a subclass of one of them): vtkSelection


Show Bounds (ShowBounds)'
For frustum selection, if this property is set to 1 the output is th
outline of the frustum instead of the contents of the input that li
within the frustum

Only the values 0 and 1 are accepted

Extract a subgrid from a structured grid with the option of setting subsample strides
The Extract Grid filter returns a subgrid of a structured input data set (uniform rectilinear, curvilinear, or nonuniform rectilinear). The output data set type of this filter is the same as the input type.<br

'Property

'Description

'Default Value(s)

'Restrictions


Include Boundary (IncludeBoundary)'
If the value of this property is 1, then if the sample rate in any dimension is greater than 1, the boundary indices of the input dataset will be passed to the output even if the boundary extent is not an even multiple of the sample rate in a given dimension

Only the values 0 and 1 are accepted


Input (Input)'
This property specifies the input to the Extract Grid filter

The selected object must be the result of the following: sources (includes readers), filters
The selected dataset must be one of the following types (or a subclass of one of them): vtkImageData, vtkRectilinearGrid, vtkStructuredPoints, vtkStructuredGrid


Sample Rate I (SampleRateI)'
This property indicates the sampling rate in the I dimension. A value grater than 1 results in subsampling; every nth index will be included in the output

The value must be greater than or equal to 1


Sample Rate J (SampleRateJ)'
This property indicates the sampling rate in the J dimension. A value grater than 1 results in subsampling; every nth index will be included in the output

The value must be greater than or equal to 1


Sample Rate K (SampleRateK)'
This property indicates the sampling rate in the K dimension. A value grater than 1 results in subsampling; every nth index will be included in the output

The value must be greater than or equal to 1


V OI (VOI)'
This property specifies the minimum and maximum point indices along each of the I, J, and K axes; these values indicate the volume of interest (VOI). The output will have the (I,J,K) extent specified here

0 0 0 0 0
The values must lie within the extent of the input dataset

Extract a 2D boundary surface using neighbor relations to eliminate internal faces
The Extract Surface filter extracts the polygons forming the outer surface of the input dataset. This filter operates on any type of data and produces polygonal data as output.<br

'Property

'Description

'Default Value(s)

'Restrictions


Input (Input)'
This property specifies the input to the Extract Surface filter

The selected object must be the result of the following: sources (includes readers), filters
The selected dataset must be one of the following types (or a subclass of one of them): vtkDataSet


Nonlinear Subdivision Level (NonlinearSubdivisionLevel)'
If the input is an unstructured grid with nonlinear faces, thi
parameter determines how many times the face is subdivided int
linear faces. If 0, the output is the equivalent of its linea
couterpart (and the midpoints determining the nonlinea
interpolation are discarded). If 1, the nonlinear face i
triangulated based on the midpoints. If greater than 1, th
triangulated pieces are recursively subdivided to reach th
desired subdivision. Setting the value to greater than 1 ma
cause some point data to not be passed even if no quadratic face
exist. This option has no effect if the input is not a
unstructured grid

The value must be greater than or equal to 0 and less than or equal to 4


Piece Invariant (PieceInvariant)'
If the value of this property is set to 1, internal surfaces along process boundaries will be removed. NOTE: Enabling this option might cause multiple executions of the data source because more information is needed to remove internal surfaces

Only the values 0 and 1 are accepted

=FFT Of Selection Over Time
Extracts selection over time and plots the FF
Extracts the data of a selection (e.g. points or cells) over time,<br
takes the FFT of them, and plots them.<br

'Property

'Description

'Default Value(s)

'Restrictions


Input (Input)'
The input from which the selection is extracted

The selected object must be the result of the following: sources (includes readers), filters
The selected dataset must be one of the following types (or a subclass of one of them): vtkDataSet, vtkTable, vtkCompositeDataSet


Selection (Selection)'
The input that provides the selection object

The selected object must be the result of the following: sources (includes readers), filters
The selected dataset must be one of the following types (or a subclass of one of them): vtkSelection

=Feature Edges
This filter will extract edges along sharp edges of surfaces or boundaries of surfaces
The Feature Edges filter extracts various subsets of edges from the input data set. This filter operates on polygonal data and produces polygonal output.<br

'Property

'Description

'Default Value(s)

'Restrictions


Boundary Edges (BoundaryEdges)'
If the value of this property is set to 1, boundary edges will be extracted. Boundary edges are defined as lines cells or edges that are used by only one polygon

Only the values 0 and 1 are accepted


Coloring (Coloring)'
If the value of this property is set to 1, then the extracted edges are assigned a scalar value based on the type of the edge

Only the values 0 and 1 are accepted


Feature Angle (FeatureAngle)'
Ths value of this property is used to define a feature edge. If the surface normal between two adjacent triangles is at least as large as this Feature Angle, a feature edge exists. (See the FeatureEdges property.

3
The value must be greater than or equal to 0 and less than or equal to 180


Feature Edges (FeatureEdges)'
If the value of this property is set to 1, feature edges will be extracted. Feature edges are defined as edges that are used by two polygons whose dihedral angle is greater than the feature angle. (See the FeatureAngle property.
Toggle whether to extract feature edges

Only the values 0 and 1 are accepted


Input (Input)'
This property specifies the input to the Feature Edges filter

The selected object must be the result of the following: sources (includes readers), filters
The selected dataset must be one of the following types (or a subclass of one of them): vtkPolyData


Manifold Edges (ManifoldEdges)'
If the value of this property is set to 1, manifold edges will be extracted. Manifold edges are defined as edges that are used by exactly two polygons

Only the values 0 and 1 are accepted


NonManifold Edges (NonManifoldEdges)'
If the value of this property is set to 1, nonmanifold ediges will be extracted. Nonmanifold edges are defined as edges that are use by three or more polygons

Only the values 0 and 1 are accepted

=Generate Ids
Generate scalars from point and cell ids
This filter generates scalars using cell and point ids. That is, the point attribute data scalars are generated from the point ids, and the cell attribute data scalars or field data are generated from the the cell ids.<br

'Property

'Description

'Default Value(s)

'Restrictions


Array Name (ArrayName)'
The name of the array that will contain ids

Id



Input (Input)'
This property specifies the input to the Cell Data to Point Data filter

The selected object must be the result of the following: sources (includes readers), filters
The selected dataset must be one of the following types (or a subclass of one of them): vtkDataSet

=Generate Quadrature Points
Create a point set with data at quadrature points
"Create a point set with data at quadrature points."<br

'Property

'Description

'Default Value(s)

'Restrictions


Input (Input)'


The selected object must be the result of the following: sources (includes readers), filters
The dataset must contain a cell array
The selected dataset must be one of the following types (or a subclass of one of them): vtkUnstructuredGrid


Select Source Array (SelectSourceArray)'
Specifies the offset array from which we generate quadrature points

An array of scalars is required

=Generate Quadrature Scheme Dictionary
Generate quadrature scheme dictionaries in data sets that do not have them
Generate quadrature scheme dictionaries in data sets that do not have them.<br

'Property

'Description

'Default Value(s)

'Restrictions


Input (Input)'


The selected object must be the result of the following: sources (includes readers), filters
The selected dataset must be one of the following types (or a subclass of one of them): vtkUnstructuredGrid

=Generate Surface Normals
This filter will produce surface normals used for smooth shading. Splitting is used to avoid smoothing across feature edges
This filter generates surface normals at the points of the input polygonal dataset to provide smooth shading of the dataset. The resulting dataset is also polygonal. The filter works by calculating a normal vector for each polygon in the dataset and then averaging the normals at the shared points.<br

'Property

'Description

'Default Value(s)

'Restrictions


Compute Cell Normals (ComputeCellNormals)'
This filter computes the normals at the points in the data set. In the process of doing this it computes polygon normals too. If you want these normals to be passed to the output of this filter, set the value of this property to 1

Only the values 0 and 1 are accepted


Consistency (Consistency)'
The value of this property controls whether consistent polygon ordering is enforced. Generally the normals for a data set should either all point inward or all point outward. If the value of this property is 1, then this filter will reorder the points of cells that whose normal vectors are oriented the opposite direction from the rest of those in the data set

Only the values 0 and 1 are accepted


Feature Angle (FeatureAngle)'
The value of this property defines a feature edge. If the surface normal between two adjacent triangles is at least as large as this Feature Angle, a feature edge exists. If Splitting is on, points are duplicated along these feature edges. (See the Splitting property.

3
The value must be greater than or equal to 0 and less than or equal to 180


Flip Normals (FlipNormals)'
If the value of this property is 1, this filter will reverse the normal direction (and reorder the points accordingly) for all polygons in the data set; this changes frontfacing polygons to backfacing ones, and vice versa. You might want to do this if your viewing position will be inside the data set instead of outside of it

Only the values 0 and 1 are accepted


Input (Input)'
This property specifies the input to the Normals Generation filter

The selected object must be the result of the following: sources (includes readers), filters
The selected dataset must be one of the following types (or a subclass of one of them): vtkPolyData


NonManifold Traversal (NonManifoldTraversal)'
Turn on/off traversal across nonmanifold edges. Not traversing nonmanifold edges will prevent problems where the consistency of polygonal ordering is corrupted due to topological loops

Only the values 0 and 1 are accepted


Piece Invariant (PieceInvariant)'
Turn this option to to produce the same results regardless of the number of processors used (i.e., avoid seams along processor boundaries). Turn this off if you do want to process ghost levels and do not mind seams

Only the values 0 and 1 are accepted


Splitting (Splitting)'
This property controls the splitting of sharp edges. If sharp edges are split (property value = 1), then points are duplicated along these edges, and separate normals are computed for both sets of points to give crisp (rendered) surface definition

Only the values 0 and 1 are accepted

=Glyph
This filter generates an arrow, cone, cube, cylinder, line, sphere, or 2D glyph at each point of the input data set. The glyphs can be oriented and scaled by point attributes of the input dataset
The Glyph filter generates a glyph (i.e., an arrow, cone, cube, cylinder, line, sphere, or 2D glyph) at each point in the input dataset. The glyphs can be oriented and scaled by the input pointcentered scalars and vectors. The Glyph filter operates on any type of data set. Its output is polygonal. This filter is available on the Toolbar.<br

'Property

'Description

'Default Value(s)

'Restrictions


Glyph Transform (GlyphTransform)'
The values in this property allow you to specify the transfor
(translation, rotation, and scaling) to apply to the glyph source

The value must be set to one of the following: Transform2


Input (Input)'
This property specifies the input to the Glyph filter. This is the dataset to which the glyphs will be applied

The selected object must be the result of the following: sources (includes readers), filters
The selected dataset must be one of the following types (or a subclass of one of them): vtkDataSet


Maximum Number of Points (MaximumNumberOfPoints)'
The value of this property specifies the maximum number of glyphs that should appear in the output dataset if the value of the UseMaskPoints property is 1. (See the UseMaskPoints property.

500
The value must be greater than or equal to 0


Random Mode (RandomMode)'
If the value of this property is 1, then the points to glyph are chosen randomly. Otherwise the point ids chosen are evenly spaced

Only the values 0 and 1 are accepted


Scalars (SelectInputScalars)'
This property indicates the name of the scalar array on which to operate. The indicated array may be used for scaling the glyphs. (See the SetScaleMode property.

An array of scalars is required


Vectors (SelectInputVectors)'
This property indicates the name of the vector array on which to operate. The indicated array may be used for scaling and/or orienting the glyphs. (See the SetScaleMode and SetOrient properties.

An array of vectors is required


Orient (SetOrient)'
If this property is set to 1, the glyphs will be oriented based on the selected vector array

Only the values 0 and 1 are accepted


Set Scale Factor (SetScaleFactor)'
The value of this property will be used as a multiplier for scaling the glyphs before adding them to the output

The value must be less than the largest dimension of the dataset multiplied by a scale factor of 0.1
The value must lie within the range of the selected data array
The value must lie within the range of the selected data array


Scale Mode (SetScaleMode)'
The value of this property specifies how/if the glyphs should be scaled based on the pointcentered scalars/vectors in the input dataset

The value must be one of the following: scalar (0), vector (1), vector_components (2), off (3)


Glyph Type (Source)'
This property determines which type of glyph will be placed at the points in the input dataset

The selected object must be the result of the following: sources (includes readers), glyph_sources
The selected dataset must be one of the following types (or a subclass of one of them): vtkPolyData
The value must be set to one of the following: ArrowSource, ConeSource, CubeSource, CylinderSource, LineSource, SphereSource, GlyphSource2D


Mask Points (UseMaskPoints)'
If the value of this property is set to 1, limit the maximum number of glyphs to the value indicated by MaximumNumberOfPoints. (See the MaximumNumberOfPoints property.

Only the values 0 and 1 are accepted

=Glyph With Custom Source
This filter generates a glyph at each point of the input data set. The glyphs can be oriented and scaled by point attributes of the input dataset
The Glyph filter generates a glyph at each point in the input dataset. The glyphs can be oriented and scaled by the input pointcentered scalars and vectors. The Glyph filter operates on any type of data set. Its output is polygonal. This filter is available on the Toolbar.<br

'Property

'Description

'Default Value(s)

'Restrictions


Input (Input)'
This property specifies the input to the Glyph filter. This is the dataset to which the glyphs will be applied

The selected object must be the result of the following: sources (includes readers), filters
The selected dataset must be one of the following types (or a subclass of one of them): vtkDataSet


Maximum Number of Points (MaximumNumberOfPoints)'
The value of this property specifies the maximum number of glyphs that should appear in the output dataset if the value of the UseMaskPoints property is 1. (See the UseMaskPoints property.

500
The value must be greater than or equal to 0


Random Mode (RandomMode)'
If the value of this property is 1, then the points to glyph are chosen randomly. Otherwise the point ids chosen are evenly spaced

Only the values 0 and 1 are accepted


Scalars (SelectInputScalars)'
This property indicates the name of the scalar array on which to operate. The indicated array may be used for scaling the glyphs. (See the SetScaleMode property.

An array of scalars is required


Vectors (SelectInputVectors)'
This property indicates the name of the vector array on which to operate. The indicated array may be used for scaling and/or orienting the glyphs. (See the SetScaleMode and SetOrient properties.

An array of vectors is required


Orient (SetOrient)'
If this property is set to 1, the glyphs will be oriented based on the selected vector array

Only the values 0 and 1 are accepted


Set Scale Factor (SetScaleFactor)'
The value of this property will be used as a multiplier for scaling the glyphs before adding them to the output

The value must be less than the largest dimension of the dataset multiplied by a scale factor of 0.1
The value must lie within the range of the selected data array
The value must lie within the range of the selected data array


Scale Mode (SetScaleMode)'
The value of this property specifies how/if the glyphs should be scaled based on the pointcentered scalars/vectors in the input dataset

The value must be one of the following: scalar (0), vector (1), vector_components (2), off (3)


Glyph Type (Source)'
This property determines which type of glyph will be placed at the points in the input dataset

The selected object must be the result of the following: sources (includes readers), glyph_sources
The selected dataset must be one of the following types (or a subclass of one of them): vtkPolyData


Mask Points (UseMaskPoints)'
If the value of this property is set to 1, limit the maximum number of glyphs to the value indicated by MaximumNumberOfPoints. (See the MaximumNumberOfPoints property.

Only the values 0 and 1 are accepted

=Gradient
This filter computes gradient vectors for an image/volume
The Gradient filter computes the gradient vector at each point in an image or volume. This filter uses central differences to compute the gradients. The Gradient filter operates on uniform rectilinear (image) data and produces image data output.<br

'Property

'Description

'Default Value(s)

'Restrictions


Dimensionality (Dimensionality)'
This property indicates whether to compute the gradient in two dimensions or in three. If the gradient is being computed in two dimensions, the X and Y dimensions are used

The value must be one of the following: Two (2), Three (3)


Input (Input)'
This property specifies the input to the Gradient filter

The selected object must be the result of the following: sources (includes readers), filters
The dataset must contain a point array with 1 components
The selected dataset must be one of the following types (or a subclass of one of them): vtkImageData


Select Input Scalars (SelectInputScalars)'
This property lists the name of the array from which to compute the gradient

An array of scalars is required

=Gradient Of Unstructured DataSet
Estimate the gradient for each point or cell in any type of dataset
The Gradient (Unstructured) filter estimates the gradient vector at each point or cell. It operates on any type of vtkDataSet, and the output is the same type as the input. If the dataset is a vtkImageData, use the Gradient filter instead; it will be more efficient for this type of dataset.<br

'Property

'Description

'Default Value(s)

'Restrictions


Compute Vorticity (ComputeVorticity)'
When this flag is on, the gradient filter will compute th
vorticity/curl of a 3 component array

Only the values 0 and 1 are accepted


Faster Approximation (FasterApproximation)'
When this flag is on, the gradient filter will provide a les
accurate (but close) algorithm that performs fewer derivativ
calculations (and is therefore faster). The error contains som
smoothing of the output data and some possible errors on th
boundary. This parameter has no effect when performing th
gradient of cell data

Only the values 0 and 1 are accepted


Input (Input)'
This property specifies the input to the Gradient (Unstructured) filter

The selected object must be the result of the following: sources (includes readers), filters
The dataset must contain a point or cell array
The selected dataset must be one of the following types (or a subclass of one of them): vtkPointSet


Result Array Name (ResultArrayName)'
This property provides a name for the output array containing the gradient vectors

Gradient



Scalar Array (SelectInputScalars)'
This property lists the name of the scalar array from which to compute the gradient

An array of scalars is required
Valud array names will be chosen from point and cell data

=Grid Connectivity
Mass properties of connected fragments for unstructured grids
This filter works on multiblock unstructured grid inputs and also works in<br
parallel. It Ignores any cells with a cell data Status value of 0.<br
It performs connectivity to distict fragments separately. It then integrates<br
attributes of the fragments.<br

'Property

'Description

'Default Value(s)

'Restrictions


Input (Input)'


The selected object must be the result of the following: sources (includes readers), filters
The selected dataset must be one of the following types (or a subclass of one of them): vtkUnstructuredGrid, vtkCompositeDataSet

=Group Datasets
Group data sets
Groups multiple datasets to create a multiblock dataset<br

'Property

'Description

'Default Value(s)

'Restrictions


Input (Input)'
This property indicates the the inputs to the Group Datasets filter

The selected object must be the result of the following: sources (includes readers), filters
The selected dataset must be one of the following types (or a subclass of one of them): vtkDataObject

=Histogram
Extract a histogram from field data

'Property

'Description

'Default Value(s)

'Restrictions


Bin Count (BinCount)'
The value of this property specifies the number of bins for the histogram

1
The value must be greater than or equal to 1 and less than or equal to 256


Calculate Averages (CalculateAverages)'
This option controls whether the algorithm calculates average
of variables other than the primary variable that fall into eac
bin

Only the values 0 and 1 are accepted


Component (Component)'
The value of this property specifies the array component from which the histogram should be computed




Custom Bin Ranges (CustomBinRanges)'
Set custom bin ranges to use. These are used only whe
UseCustomBinRanges is set to true

0 10
The value must lie within the range of the selected data array


Input (Input)'
This property specifies the input to the Histogram filter

The selected object must be the result of the following: sources (includes readers), filters
The dataset must contain a point or cell array
The selected dataset must be one of the following types (or a subclass of one of them): vtkDataSet


Select Input Array (SelectInputArray)'
This property indicates the name of the array from which to compute the histogram

An array of scalars is required
Valud array names will be chosen from point and cell data


Use Custom Bin Ranges (UseCustomBinRanges)'
When set to true, CustomBinRanges will be used instead of using th
full range for the selected array. By default, set to false

Only the values 0 and 1 are accepted

=Integrate Variables
This filter integrates cell and point attributes
The Integrate Attributes filter integrates point and cell data over lines and surfaces. It also computes length of lines, area of surface, or volume.<br

'Property

'Description

'Default Value(s)

'Restrictions


Input (Input)'
This property specifies the input to the Integrate Attributes filter

The selected object must be the result of the following: sources (includes readers), filters
The selected dataset must be one of the following types (or a subclass of one of them): vtkDataSet

=Interpolate to Quadrature Points
Create scalar/vector data arrays interpolated to quadrature points
"Create scalar/vector data arrays interpolated to quadrature points."<br

'Property

'Description

'Default Value(s)

'Restrictions


Input (Input)'


The selected object must be the result of the following: sources (includes readers), filters
The selected dataset must be one of the following types (or a subclass of one of them): vtkUnstructuredGrid


Select Source Array (SelectSourceArray)'
Specifies the offset array from which we interpolate values to quadrature points

An array of scalars is required

=Intersect Fragments
The Intersect Fragments filter perform geometric intersections on sets of fragments
The Intersect Fragments filter perform geometric intersections on sets of<br
fragments. The filter takes two inputs, the first containing fragment<br
geometry and the second containing fragment centers. The filter has two<br
outputs. The first is geometry that results from the intersection. The<br
second is a set of points that is an approximation of the center of where<br
each fragment has been intersected.<br

'Property

'Description

'Default Value(s)

'Restrictions


Slice Type (CutFunction)'
This property sets the type of intersecting geometry, an
associated parameters

The value must be set to one of the following: Plane, Box, Sphere


Input (Input)'
This input must contian fragment geometry

The selected object must be the result of the following: sources (includes readers), filters
The selected dataset must be one of the following types (or a subclass of one of them): vtkMultiBlockDataSet


Source (Source)'
This input must contian fragment centers

The selected object must be the result of the following: sources (includes readers), filters
The selected dataset must be one of the following types (or a subclass of one of them): vtkMultiBlockDataSet

=Iso Volume
This filter extracts cells by clipping cells that have point scalars not in the specified range
This filter clip away the cells using lower and upper thresholds.<br

'Property

'Description

'Default Value(s)

'Restrictions


Input (Input)'
This property specifies the input to the Threshold filter

The selected object must be the result of the following: sources (includes readers), filters
The dataset must contain a point or cell array with 1 components
The selected dataset must be one of the following types (or a subclass of one of them): vtkDataSet


Input Scalars (SelectInputScalars)'
The value of this property contains the name of the scalar array from which to perform thresholding

An array of scalars is required
Valud array names will be chosen from point and cell data


Threshold Range (ThresholdBetween)'
The values of this property specify the upper and lower bounds of the thresholding operation

0
The value must lie within the range of the selected data array

=K Means
Compute a statistical model of a dataset and/or assess the dataset with a statistical model
This filter either computes a statistical model of a dataset or takes such a model as its second input. Then, the model (however it is obtained) may optionally be used to assess the input dataset
<br
This filter iteratively computes the center of k clusters in a space whose coordinates are specified by the arrays you select. The clusters are chosen as local minima of the sum of square Euclidean distances from each point to its nearest cluster center. The model is then a set of cluster centers. Data is assessed by assigning a cluster center and distance to the cluster to each point in the input data set.<br

'Property

'Description

'Default Value(s)

'Restrictions


Attribute Mode (AttributeMode)'
Specify which type of field data the arrays will be drawn from

Valud array names will be chosen from point and cell data


Input (Input)'
The input to the filter. Arrays from this dataset will be used for computing statistics and/or assessed by a statistical model

The selected object must be the result of the following: sources (includes readers), filters
The dataset must contain a point or cell array
The selected dataset must be one of the following types (or a subclass of one of them): vtkImageData, vtkStructuredGrid, vtkPolyData, vtkUnstructuredGrid, vtkTable, vtkGraph


k (K)'
Specify the number of clusters

The value must be greater than or equal to 1


Max Iterations (MaxNumIterations)'
Specify the maximum number of iterations in which cluster centers are moved before the algorithm terminates

5
The value must be greater than or equal to 1


Model Input (ModelInput)'
A previouslycalculated model with which to assess a separate dataset. This input is optional

The selected object must be the result of the following: sources (includes readers), filters
The selected dataset must be one of the following types (or a subclass of one of them): vtkTable, vtkMultiBlockDataSet


Variables of Interest (SelectArrays)'
Choose arrays whose entries will be used to form observations for statistical analysis

An array of scalars is required


Task (Task)'
Specify the task to be performed: modeling and/or assessment
 "Statistics of all the data," creates an output table (or tables) summarizing the entire input dataset
 "Model a subset of the data," creates an output table (or tables) summarizing a randomlychosen subset of the input dataset
 "Assess the data with a model," adds attributes to the first input dataset using a model provided on the second input port; an
 "Model and assess the same data," is really just operations 2 and 3 above applied to the same input dataset. The model is first trained using a fraction of the input data and then the entire dataset is assessed using that model
When the task includes creating a model (i.e., tasks 2, and 4), you may adjust the fraction of the input dataset used for training. You should avoid using a large fraction of the input data for training as you will then not be able to detect overfitting. The Training fraction setting will be ignored for tasks 1 and 3

The value must be one of the following: Statistics of all the data (0), Model a subset of the data (1), Assess the data with a model (2), Model and assess the same data (3)


Tolerance (Tolerance)'
Specify the relative tolerance that will cause early termination

0.0
The value must be greater than or equal to 0 and less than or equal to 1


Training Fraction (TrainingFraction)'
Specify the fraction of values from the input dataset to be used for model fitting. The exact set of values is chosen at random from the dataset

0.
The value must be greater than or equal to 0 and less than or equal to 1

=Level Scalars
The Level Scalars filter uses colors to show levels of a hierarchical dataset
The Level Scalars filter uses colors to show levels of a hierarchical dataset.<br

'Property

'Description

'Default Value(s)

'Restrictions


Input (Input)'
This property specifies the input to the Level Scalars filter

The selected object must be the result of the following: sources (includes readers), filters
The selected dataset must be one of the following types (or a subclass of one of them): vtkHierarchicalBoxDataSet

=Linear Extrusion
This filter creates a swept surface defined by translating the input along a vector
The Linear Extrusion filter creates a swept surface by translating the input dataset along a specified vector. This filter is intended to operate on 2D polygonal data. This filter operates on polygonal data and produces polygonal data output.<br

'Property

'Description

'Default Value(s)

'Restrictions


Capping (Capping)'
The value of this property indicates whether to cap the ends of the swept surface. Capping works by placing a copy of the input dataset on either end of the swept surface, so it behaves properly if the input is a 2D surface composed of filled polygons. If the input dataset is a closed solid (e.g., a sphere), then if capping is on (i.e., this property is set to 1), two copies of the data set will be displayed on output (the second translated from the first one along the specified vector). If instead capping is off (i.e., this property is set to 0), then an input closed solid will produce no output

Only the values 0 and 1 are accepted


Input (Input)'
This property specifies the input to the Linear Extrusion filter

The selected object must be the result of the following: sources (includes readers), filters
The selected dataset must be one of the following types (or a subclass of one of them): vtkPolyData


Piece Invariant (PieceInvariant)'
The value of this property determines whether the output will be the same regardless of the number of processors used to compute the result. The difference is whether there are internal polygonal faces on the processor boundaries. A value of 1 will keep the results the same; a value of 0 will allow internal faces on processor boundaries

Only the values 0 and 1 are accepted


Scale Factor (ScaleFactor)'
The value of this property determines the distance along the vector the dataset will be translated. (A scale factor of 0.5 will move the dataset half the length of the vector, and a scale factor of 2 will move it twice the vector's length.




Vector (Vector)'
The value of this property indicates the X, Y, and Z components of the vector along which to sweep the input dataset

0 0


=Loop Subdivision
This filter iteratively divides each triangle into four triangles. New points are placed so the output surface is smooth
The Loop Subdivision filter increases the granularity of a polygonal mesh. It works by dividing each triangle in the input into four new triangles. It is named for Charles Loop, the person who devised this subdivision scheme. This filter only operates on triangles, so a data set that contains other types of polygons should be passed through the Triangulate filter before applying this filter to it. This filter only operates on polygonal data (specifically triangle meshes), and it produces polygonal output.<br

'Property

'Description

'Default Value(s)

'Restrictions


Input (Input)'
This property specifies the input to the Loop Subdivision filter

The selected object must be the result of the following: sources (includes readers), filters
The selected dataset must be one of the following types (or a subclass of one of them): vtkPolyData


Number of Subdivisions (NumberOfSubdivisions)'
Set the number of subdivision iterations to perform. Each subdivision divides single triangles into four new triangles

The value must be greater than or equal to 1 and less than or equal to 4

=Mask Points
Reduce the number of points. This filter is often used before glyphing. Generating vertices is an option
The Mask Points filter reduces the number of points in the dataset. It operates on any type of dataset, but produces only points / vertices as output. This filter is often used before the Glyph filter, but the basic pointmasking functionality is also available on the Properties page for the Glyph filter.<br

'Property

'Description

'Default Value(s)

'Restrictions


Generate Vertices (GenerateVertices)'
This property specifies whether to generate vertex cells as the topography of the output. If set to 1, the geometry (vertices) will be displayed in the rendering window; otherwise no geometry will be displayed

Only the values 0 and 1 are accepted


Input (Input)'
This property specifies the input to the Mask Points filter

The selected object must be the result of the following: sources (includes readers), filters
The selected dataset must be one of the following types (or a subclass of one of them): vtkDataSet


Maximum Number of Points (MaximumNumberOfPoints)'
The value of this property indicates the maximum number of points in the output dataset

500
The value must be greater than or equal to 0


Offset (Offset)'
The value of this property indicates the point in the input dataset from which to start masking

The value must be greater than or equal to 0


On Ratio (OnRatio)'
The value of this property specifies the ratio of points to retain in the output. (For example, if the on ratio is 3, then the output will contain 1/3 as many points  up to the value of the MaximumNumberOfPoints property  as the input.

The value must be greater than or equal to 1


Random (RandomMode)'
If the value of this property is set to 0, then the points in the output will be randomly selected from the input; otherwise this filter will subsample regularly. Selecting points at random is helpful to avoid striping when masking the points of a structured dataset

Only the values 0 and 1 are accepted


Single Vertex Per Cell (SingleVertexPerCell)'
Tell filter to only generate one vertex per cell instead of multiple vertices in one cell

Only the values 0 and 1 are accepted

=Material Interface Filter
The Material Interface filter finds volumes in the input data containg material above a certain material fraction
The Material Interface filter finds voxels inside of which a material<br
fraction (or normalized amount of material) is higher than a given<br
threshold. As these voxels are identified surfaces enclosing adjacent<br
voxels above the threshold are generated. The resulting volume and its<br
surface are what we call a fragment. The filter has the ability to<br
compute various volumetric attributes such as fragment volume, mass,<br
center of mass as well as volume and mass weighted averages for any of<br
the fields present. Any field selected for such computation will be also<br
be coppied into the fragment surface's point data for visualization. The<br
filter also has the ability to generate Oriented Bounding Boxes (OBB) for<br
each fragment.
<br
The data generated by the filter is organized in three outputs. The<br
"geometry" output, containing the fragment surfaces. The "statistics"<br
output, containing a point set of the centers of mass. The "obb<br
representaion" output, containing OBB representations (poly data). All<br
computed attributes are coppied into the statistics and geometry output.<br
The obb representation output is used for validation and debugging<br
puproses and is turned off by default.
<br
To measure the size of craters, the filter can invert a volume fraction<br
and clip the volume fraction with a sphere and/or a plane.<br

'Property

'Description

'Default Value(s)

'Restrictions


Clip Center (ClipCenter)'
This property specifies center of the clipping plane or sphere

0 0



Clip Plane Vector (ClipPlaneVector)'
This property specifies the normal of the clipping plane

0 0



Clip Radius (ClipRadius)'
This property specifies the radius of the clipping sphere

The value must be greater than or equal to 0


Clip With Plane (ClipWithPlane)'
This option masks all material on on side of a plane. It is useful fo
finding the properties of a crater

Only the values 0 and 1 are accepted


Clip With Sphere (ClipWithSphere)'
This option masks all material outside of a sphere

Only the values 0 and 1 are accepted


Compute OBB (ComputeOBB)'
Compute Object Oriented Bounding boxes (OBB). When active the result o
this computation is coppied into the statistics output. In the cas
that the filter is built in its validation mode, the OBB's ar
rendered

Only the values 0 and 1 are accepted


Input (Input)'
Input to the filter can be a hierarchical box data set containing imag
data or a multiblock of rectilinear grids

The selected object must be the result of the following: sources (includes readers), filters
The dataset must contain a cell array
The selected dataset must be one of the following types (or a subclass of one of them): vtkHierarchicalBoxDataSet


Invert Volume Fraction (InvertVolumeFraction)'
Inverting the volume fraction generates the negative of the material
It is useful for analyzing craters

Only the values 0 and 1 are accepted


Material Fraction Threshold (MaterialFractionThreshold)'
Material fraction is defined as normalized amount of material pe
voxel. Any voxel in the input data set with a material fraction greate
than this value is included in the output data set

0.
The value must be greater than or equal to 0.08 and less than or equal to 1


Output Base Name (OutputBaseName)'
This property specifies the base including path of where to write th
statistics and gemoetry output text files. It follows the patter
"/path/to/folder/and/file" here file has no extention, as the filte
will generate a unique extention




Select Mass Arrays (SelectMassArray)'
Mass arrays are paired with material fraction arrays. This means tha
the first selected material fraction array is paired with the firs
selected mass array, and so on sequentially. As the filter identifie
voxels meeting the minimum material fraction threshold, these voxel'
mass will be used in fragment center of mass and mass calculation
A warning is generated if no mass array is selected for an individua
material fraction array. However, in that case the filter will ru
without issue because the statistics output can be generated usin
fragments' centers computed from axis aligned bounding boxes

An array of scalars is required


Compute mass weighted average over: (SelectMassWtdAvgArray)'
For arrays selected a mass weighted average is computed. These array
are also coppied into fragment geometry cell data as the fragmen
surfaces are generated

An array of scalars is required


Select Material Fraction Arrays (SelectMaterialArray)'
Material fraction is defined as normalized amount of material pe
voxel. It is expected that arrays containing material fraction data ha
been down converted to a unsigned char

An array of scalars is required


Compute volume weighted average over: (SelectVolumeWtdAvgArray)'
For arrays selected a volume weighted average is computed. The value
of these arrays are also coppied into fragment geometry cell data a
the fragment surfaces are generated

An array of scalars is required


Write Geometry Output (WriteGeometryOutput)'
If this property is set, then the geometry output is written to a tex
file. The file name will be coonstructed using the path in the "Outpu
Base Name" widget

Only the values 0 and 1 are accepted


Write Statistics Output (WriteStatisticsOutput)'
If this property is set, then the statistics output is written to
text file. The file name will be coonstructed using the path in th
"Output Base Name" widget

Only the values 0 and 1 are accepted

=Median
Compute the median scalar values in a specified neighborhood for image/volume datasets
The Median filter operates on uniform rectilinear (image or volume) data and produces uniform rectilinear output. It replaces the scalar value at each pixel / voxel with the median scalar value in the specified surrounding neighborhood. Since the median operation removes outliers, this filter is useful for removing highintensity, lowprobability noise (shot noise).<br

'Property

'Description

'Default Value(s)

'Restrictions


Input (Input)'
This property specifies the input to the Median filter

The selected object must be the result of the following: sources (includes readers), filters
The dataset must contain a point array with 1 components
The selected dataset must be one of the following types (or a subclass of one of them): vtkImageData


Kernel Size (KernelSize)'
The value of this property specifies the number of pixels/voxels in each dimension to use in computing the median to assign to each pixel/voxel. If the kernel size in a particular dimension is 1, then the median will not be computed in that direction

1 1



Select Input Scalars (SelectInputScalars)'
The value of thie property lists the name of the scalar array to use in computing the median

An array of scalars is required

=Merge Blocks
vtkCompositeDataToUnstructuredGridFilter appends all vtkDataSet<br
leaves of the input composite dataset to a single unstructure grid. The<br
subtree to be combined can be choosen using the SubTreeCompositeIndex. If<br
the SubTreeCompositeIndex is a leaf node, then no appending is required.<br

'Property

'Description

'Default Value(s)

'Restrictions


Input (Input)'
Set the input composite dataset

The selected dataset must be one of the following types (or a subclass of one of them): vtkCompositeDataSet

=Mesh Quality
This filter creates a new cell array containing a geometric measure of each cell's fitness. Different quality measures can be chosen for different cell shapes
This filter creates a new cell array containing a geometric measure of each cell's fitness. Different quality measures can be chosen for different cell shapes. Supported shapes include triangles, quadrilaterals, tetrahedra, and hexahedra. For other shapes, a value of 0 is assigned.<br

'Property

'Description

'Default Value(s)

'Restrictions


Hex Quality Measure (HexQualityMeasure)'
This property indicates which quality measure will be used to evaluate hexahedral quality

The value must be one of the following: Diagonal (21), Dimension (22), Distortion (15), Edge Ratio (0), Jacobian (25), Maximum Edge Ratio (16), Maximum Aspect Frobenius (5), Mean Aspect Frobenius (4), Oddy (23), Relative Size Squared (12), Scaled Jacobian (10), Shape (13), Shape and Size (14), Shear (11), Shear and Size (24), Skew (17), Stretch (20), Taper (18), Volume (19)


Input (Input)'
This property specifies the input to the Mesh Quality filter

The selected object must be the result of the following: sources (includes readers), filters
The selected dataset must be one of the following types (or a subclass of one of them): vtkDataSet


Quad Quality Measure (QuadQualityMeasure)'
This property indicates which quality measure will be used to evaluate quadrilateral quality

The value must be one of the following: Area (28), Aspect Ratio (1), Condition (9), Distortion (15), Edge Ratio (0), Jacobian (25), Maximum Aspect Frobenius (5), Maximum Aspect Frobenius (5), Maximum Edge Ratio (16), Mean Aspect Frobenius (4), Minimum Angle (6), Oddy (23), Radius Ratio (2), Relative Size Squared (12), Scaled Jacobian (10), Shape (13), Shape and Size (14), Shear (11), Shear and Size (24), Skew (17), Stretch (20), Taper (18), Warpage (26)


Tet Quality Measure (TetQualityMeasure)'
This property indicates which quality measure will be used to evaluate tetrahedral quality. The radius ratio is the size of a sphere circumscribed by a tetrahedron's 4 vertices divided by the size of a circle tangent to a tetrahedron's 4 faces. The edge ratio is the ratio of the longest edge length to the shortest edge length. The collapse ratio is the minimum ratio of height of a vertex above the triangle opposite it divided by the longest edge of the opposing triangle across all vertex/triangle pairs

The value must be one of the following: Edge Ratio (0), Aspect Beta (29), Aspect Gamma (27), Aspect Frobenius (3), Aspect Ratio (1), Collapse Ratio (7), Condition (9), Distortion (15), Jacobian (25), Minimum Dihedral Angle (6), Radius Ratio (2), Relative Size Squared (12), Scaled Jacobian (10), Shape (13), Shape and Size (14), Volume (19)


Triangle Quality Measure (TriangleQualityMeasure)'
This property indicates which quality measure will be used to evaluate triangle quality. The radius ratio is the size of a circle circumscribed by a triangle's 3 vertices divided by the size of a circle tangent to a triangle's 3 edges. The edge ratio is the ratio of the longest edge length to the shortest edge length

The value must be one of the following: Area (28), Aspect Ratio (1), Aspect Frobenius (3), Condition (9), Distortion (15), Edge Ratio (0), Maximum Angle (8), Minimum Angle (6), Scaled Jacobian (10), Radius Ratio (2), Relative Size Squared (12), Shape (13), Shape and Size (14)

=Multicorrelative Statistics
Compute a statistical model of a dataset and/or assess the dataset with a statistical model
This filter either computes a statistical model of a dataset or takes such a model as its second input. Then, the model (however it is obtained) may optionally be used to assess the input dataset
<br
This filter computes the covariance matrix for all the arrays you select plus the mean of each array. The model is thus a multivariate Gaussian distribution with the mean vector and variances provided. Data is assessed using this model by computing the Mahalanobis distance for each input point. This distance will always be positive
<br
The learned model output format is rather dense and can be confusing, so it is discussed here. The first filter output is a multiblock dataset consisting of 2 tables
<br
 Raw covariance data.<br
 Covariance matrix and its Cholesky decomposition
<br
The raw covariance table has 3 meaningful columns: 2 titled "Column1" and "Column2" whose entries generally refer to the N arrays you selected when preparing the filter and 1 column titled "Entries" that contains numeric values. The first row will always contain the number of observations in the statistical analysis. The next N rows contain the mean for each of the N arrays you selected. The remaining rows contain covariances of pairs of arrays
<br
The second table (covariance matrix and Cholesky decomposition) contains information derived from the raw covariance data of the first table. The first N rows of the first column contain the name of one array you selected for analysis. These rows are followed by a single entry labeled "Cholesky" for a total of N+1 rows. The second column, Mean contains the mean of each variable in the first N entries and the number of observations processed in the final (N+1) row
<br
The remaining columns (there are N, one for each array) contain 2 matrices in triangular format. The upper right triangle contains the covariance matrix (which is symmetric, so its lower triangle may be inferred). The lower left triangle contains the Cholesky decomposition of the covariance matrix (which is triangular, so its upper triangle is zero). Because the diagonal must be stored for both matrices, an additional row is required — hence the N+1 rows and the final entry of the column named "Column".<br

'Property

'Description

'Default Value(s)

'Restrictions


Attribute Mode (AttributeMode)'
Specify which type of field data the arrays will be drawn from

Valud array names will be chosen from point and cell data


Input (Input)'
The input to the filter. Arrays from this dataset will be used for computing statistics and/or assessed by a statistical model

The selected object must be the result of the following: sources (includes readers), filters
The dataset must contain a point or cell array
The selected dataset must be one of the following types (or a subclass of one of them): vtkImageData, vtkStructuredGrid, vtkPolyData, vtkUnstructuredGrid, vtkTable, vtkGraph


Model Input (ModelInput)'
A previouslycalculated model with which to assess a separate dataset. This input is optional

The selected object must be the result of the following: sources (includes readers), filters
The selected dataset must be one of the following types (or a subclass of one of them): vtkTable, vtkMultiBlockDataSet


Variables of Interest (SelectArrays)'
Choose arrays whose entries will be used to form observations for statistical analysis

An array of scalars is required


Task (Task)'
Specify the task to be performed: modeling and/or assessment
 "Statistics of all the data," creates an output table (or tables) summarizing the
                                                             