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The spatialHomogeneityCheck check is available for comparing and setting flags for multiple time series per time step.
This check determines for the selected output timeseries at each timestep the mean error with neighbouring locations. If the mean error exceeds the specified absolute threshold or exceeds the specified relative factor times the standard deviation, then the output flag is updated to the selected output flag whenever that new flag is more unreliable than the existing flag.
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Check for detecting trends
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The mannKendallCheck check is available for detecting trends.
This can be useful for monitor sensors on drift.
Variable Definitions
The configuration contains variable definitions for one or more time series that can be used as input for checks. Each variable definition contains a variableId and a timeSeriesSet. The variableId can be used to reference the time series in a check. Alternatively, depending on which check it is, either variable definitions or variables can be embedded in the checks.
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