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Correlation Display
The Correlation display allows application of the Correlation Utility in an interactive manner. Correlations can be evaluated and derived between datasets using various criteria. The derived correlation can for example be applied to monitored time series data or manually entered data points. 1.1 Anchor
Input
At first, a correlation group should be selected from which a dataset will be used for making a correlation. Next, a forecast location needs to be selected and a support location or a number of support locations. With these steps a dataset is selected from a configuration file with pre-defined correlation input values for making a correlation.
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After having selected a dataset for which a function should be fitted, a regression equation can be selected. The available equations are shown below. For the polynomial regression, an order can be entered.
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Scatter Plot
When selecting the Scatter Plot tab, a scatter plot is displayed. Defining the criteria for the restriction of the dataset- if any- and the best regression equation, requires probably a number of iterations where the scatter plot will prove to be helpful.
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A forecaster can also enter a value in the cursor column for the support location. By pressing \[ENTER\] the correlation display computes the forecast with the equation and shows the result in the equation column.
1.3 <ac:structured-macro ac:name="anchor" ac:schema-version="1" ac:macro-id="93c296e8-080a-4674-bf08-fc2c362597a5"><ac:parameter ac:name="">_Toc172823883</ac:parameter></ac:structured-macro><ac:structured-macro ac:name="anchor" ac:schema-version="1" ac:macro-id="3877847f-9efc-40e3-8725-06388b0047bc"><ac:parameter ac:name="">_Toc140564196</ac:parameter></ac:structured-macro>Forecast
On the Forecast tab of the Correlation display, the derived regression equation can be applied to a monitored data series for the support location or a manually entered |
Forecast
On the Forecast tab of the Correlation display, the derived regression equation can be applied to a monitored data series for the support location or a manually entered value.
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By entering the _Time zero_ (T0), the FDO can review the result of the application of the derived regression equation in time. After T0 is changed, pressing \[Refresh\] will update the graph. |
In the displayed graph, the observed water levels at the support and forecasting locations are respectively given in blue and red. The thin line is the time series that results from applying the regression equation to the observed time series at the support location.
Events
The events tab shows a list of all events used in the correlation function. The list includes the dates, forecast level, support level and travel time of the selected events. These can be sorted by clicking on the header of each column.
Show Report and Close
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1.4 <ac:structured-macro ac:name="anchor" ac:schema-version="1" ac:macro-id="c327a7b7-1920-48e1-8100-a03df1b8d9d3"><ac:parameter ac:name="">_Toc172823884</ac:parameter></ac:structured-macro><ac:structured-macro ac:name="anchor" ac:schema-version="1" ac:macro-id="c35ea03e-8910-487d-93f7-7ad8f6bf412f"><ac:parameter ac:name="">_Toc140564197</ac:parameter></ac:structured-macro>Events
The events tab shows a list of all events used in the correlation function. The list includes the dates, forecast level, support level and travel time of the selected events. These can be sorted by clicking on the header of each column.
1.5 <ac:structured-macro ac:name="anchor" ac:schema-version="1" ac:macro-id="64277d0c-4e8b-40f0-95a4-120205eae61f"><ac:parameter ac:name="">_Toc172823885</ac:parameter></ac:structured-macro><ac:structured-macro ac:name="anchor" ac:schema-version="1" ac:macro-id="7830a7a2-2d91-48c4-8b18-7496dc2ee5f5"><ac:parameter ac:name="">_Toc140564198</ac:parameter></ac:structured-macro>Show Report and Close
The forecasts generated by applying the regression relation can be presented in a report with \[Show Report\] when required. With \[Close\], a user can leave the Correlation display. |
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