Statistics are generated and may be analysed in many parts of Source. This page provides information on the statistical functions available in Source including what they measure and how they're interpreted. For information on how to use statistics in Source, see the relevant section of the user guide.
Types in general, how they're used,
link to optimisation
In Results Manager, statistics are User generated and auto generated
Locations
Where statistics are put in, created, may be analysed
In Results Manager, statistics are categorised as either user or auto generated.
Univariate and Bivariate Statistics
Univariate statistics provide information on single ......
Bivariate statistics .....
See Calibration analysis - SRG, /wiki/spaces/TIME/pages/56721988,
Nash Sutcliffe Coefficient of Efficiency (NSE)
NSE is.......
Log Daily, Daily, Monthly,
What it measures
How it's interpreted
Relevant equations
Links to selected locations
sNSE-Bias penalty (Nash-Sutcliffe coefficient of efficiency with penalised bias solutions), daily and monthly variants
What it measures
How it's interpreted
Relevant equations
Links to selected locations
Absolute bias
General
Pearson's Correlation
General
Flow duration and log flow duration
...
There are two main categories of statistics in Source:
- Univariate statistics provide information on a single variable and are intended to summarise and reveal patterns in that variable, see Univariate Statistics SRG.
- Bivariate statistics compare two variables for the purpose of determining empirical relationships between them, see Bivariate Statistics SRG.
Locations
Statistics are generated and may be analysed in many parts of Source:
- In Results Manager:
- Chart statistics, found on the Statistics tab, provide univariate and bivariate statistics for selected result(s), see Chart Statistics.
- User-generated statistics provide a broader range of statistics for either an entire scenario or for a single result from different scenarios, see Results Manager Statistics.
- In Calibration Wizard:
- During configuration, you select the objective function that the optimsation algorithm will either minimise or maximise during the calibration (depending on the statistic chosen), see Calibration Wizard for Catchments - Select elements to record.
- Once a calibration run has finished, you can view a summary of the objective function statistics from the calibration run in the Simulation Runner, or view univariate and bivariate statistics, see Calibration Wizard for Catchments - Inspecting calibration results.
- In Data Source Explorer, you can right click on a Data Source and select View Data to open a chart, table and statistics view of the data source. See Specifying data inputs - Data Sources Explorer.