Temporal Statistics (TemporalStatistics)
Loads in all time steps of a data set and computes some statistics about how each point and cell variable changes over time.
Given an input that changes over time, vtkTemporalStatistics looks
at the data for each time step and computes some statistical
information of how a point or cell variable changes over time. For
example, vtkTemporalStatistics can compute the average value of
"pressure" over time of each point.


Note that this filter will require the upstream filter to be run on
every time step that it reports that it can compute. This may be a
time consuming operation.


vtkTemporalStatistics ignores the temporal spacing. Each timestep
will be weighted the same regardless of how long of an interval it
is to the next timestep. Thus, the average statistic may be quite
different from an integration of the variable if the time spacing
varies.
PropertyDescriptionDefault Value(s)Restrictions
Compute Average
(ComputeAverage)
Compute the average of each point and cell variable over time. 1

Only the values 0 and 1 are accepted.

 
Compute Maximum
(ComputeMaximum)
Compute the maximum of each point and cell variable over time. 1

Only the values 0 and 1 are accepted.

 
Compute Minimum
(ComputeMinimum)
Compute the minimum of each point and cell variable over time. 1

Only the values 0 and 1 are accepted.

 
Compute Standard Deviation
(ComputeStandardDeviation)
Compute the standard deviation of each point and cell variable over time. 1

Only the values 0 and 1 are accepted.

 
Input
(Input)
Set the input to the Temporal Statistics 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.