SMS:Computed vs. Observed Data Plot
A Computed vs. Observed plot is used to display how well the entire set of observed values for observation points matches the solution data. On this plot is drawn a 45° line, representing what would be a perfect correspondence between observed data and solution values. Then, one symbol is drawn for each observation point at the intersection of the observed and computed values for the point. This plot can show the trend of the solution values with regards to matching the observed data. Only those points whose value is specified as observed for the selected data type will be shown in the plot. These plots are created in the Plot Wizard by setting the Plot Type to Computed vs. Observed Data. A sample plot is shown in the figure below.
Computed vs. Observed Plot Options
After the plot type is set in Step 1 of the Plot Wizard, the Next button is clicked to go to Step 2, which displays the following items.
- Coverage – Sets the coverage where the current data for the plot is coming from. If there is only one, it simply displays the name of the observation coverage.
- Measurement – Sets the measurement data the plot will use. This measurement was created in the Feature Objects | Attributes dialog. If there is only one, it simply displays the name of the Measurement.
- Feature Objects – Sets which feature object is utilized in the current plot, points or arcs. If there is only one, it simply displays the name of the feature object.
- Use current solution – This option causes the plot to compare the observed values with the values of the current solution and time step for each observation point. When the active solution changes, the plot is recomputed and updated. If only one solution is in memory then this option is defaulted.
- Use selected solutions – This option causes the plot to compare the observed values with the values of the specified solution for each observation point. Changing the active solution does not affect the plot.
Computed vs. Observed Troubleshooting
If a plot will not generate or does not display significant data, it's possible that the conditions for the plot have not been set up correctly. To get a meaningful plot, take the following into account:
- This plot requires an observation coverage with feature points included that have observation data from the field. If there is more than one observation coverage, ensure the correct observation coverage is selected on step 2 of the Plot Wizard.
- This plot requires a simulation with calculated data of the same type of data as the observation coverage (velocity, for example). If the simulation does not have solution datasets, then this plot will not have significant results.
- The dataset desired for visualization should be selected in the Project Explorer. Which dataset is selected affects what displays in the plot.
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