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aggregates data by sampling values with the same date/time |
Instantaneous
Input
- InputVariable
...
This transformation performs an aggregation from an instantaneous input time series to an instantaneous output time series. Sets the output value to the exact same value in the input timeseries at time t. I simply samples points. As such, if an output time has no equivalent in the input series no value is given. The table below shows how 6-hourly values are converted to daily values using this method.
| Original series | Result |
Date/Time | Value | Value |
01-01-2007 00:00 | 1,00 |
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01-01-2007 06:00 | 2,00 |
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01-01-2007 12:00 | 3,00 |
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01-01-2007 18:00 | 4,00 |
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02-01-2007 00:00 | 5,00 | 5,00 |
02-01-2007 06:00 | 6,00 |
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02-01-2007 12:00 | NaN |
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02-01-2007 18:00 | 8,00 |
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03-01-2007 00:00 | 9,00 | 9,00 |
03-01-2007 06:00 | 10,00 |
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Configuration example
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Configuration example
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<transformation id="aggregation instantaneous">
<aggregation>
<instantaneous>
<inputVariable>
<timeSeriesSet>
<moduleInstanceId>ImportTelemetry</moduleInstanceId>
<valueType>scalar</valueType>
<parameterId>H.obs</parameterId>
<locationSetId>hydgauges</locationSetId>
<timeSeriesType>external historical</timeSeriesType>
<timeStep unit="minute" multiplier="15"/>
<relativeViewPeriod unit="day" startOverrulable="true" start="-7" end="0"/>
<readWriteMode>read only</readWriteMode>
<delay unit="minute" multiplier="0"/>
</timeSeriesSet>
</inputVariable>
<outputVariable>
<timeSeriesSet>
<moduleInstanceId>Aggregate_Historic</moduleInstanceId>
<valueType>scalar</valueType>
<parameterId>instantaneous</parameterId>
<locationSetId>hydgauges</locationSetId>
<timeSeriesType>external historical</timeSeriesType>
<timeStep unit="hour" multiplier="1"/>
<relativeViewPeriod unit="day" startOverrulable="true" start="-7" end="0"/>
<readWriteMode>add originals</readWriteMode>
<synchLevel>1</synchLevel>
</timeSeriesSet>
</outputVariable>
</instantaneous>
</aggregation>
</transformation>
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