Changes between Version 9 and Version 10 of EwEugImportTimeSeries
- Timestamp:
- 2012-03-08 00:08:41 (13 years ago)
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EwEugImportTimeSeries
v9 v10 38 38 ** Using data type 2, you can force nutrient concentrations (see [wiki:EwEugEcosimParameters Ecosim parameters] and links therein); parameters that affect trophic interactions through abiotic factors (see [wiki:EwEugForcingFunction Forcing function] and [wiki:EwEugApplyForcingFunctionConsumer Apply FF (consumer)]) or primary production (see [wiki:EwEugApplyForcingFunctionPrimaryProducer Apply FF (primary producer)]). 39 39 40 *** Forcing catches enables 40 *** Forcing catches enables [wiki:EwEugUsingEcosimForStockReductionAnalysis Use of Ecosim for Stock Reduction Analysis]. 41 41 42 42 How to import a time series data file … … 44 44 Important note. After importing a time series file, you must weight the time series using the Time series form. 45 45 46 Note that you must already have an Ecosim scenario loaded before you can import a time series data file (see [ EwEugGettingStartedEcosim Ecosim menu] for instructions for creating and loading Ecosim scenarios).46 Note that you must already have an Ecosim scenario loaded before you can import a time series data file (see [wiki:EwEugGettingStartedEcosim Ecosim menu] for instructions for creating and loading Ecosim scenarios). 47 47 48 48 The Import time series dialogue box (Figure 8.8) allows you to load time series data stored in CSV (comma separated values) or similar text format. It can be accessed: … … 60 60 ''New in version 6.3: Adding confidence measures to time series'' 61 61 62 It is possible to set the c.v. (or coefficient of variation calculated as the standard deviation of a time series' estimates relative to its mean) for time series as an optional second line in the csv time series file. Mark the second line in the file with "CV" in that case. From the CV we calculate the time series weight at the inverse, i.e. as the "signal to noise" ratio for the time series. The c.v. input have to be complete and positive values. Variability is assumed to be log-normal, in which case the CV is approximately equal to the standard deviation of the log prediction error. Weight is calculated from cv as equal to 1/CV ^2. Note that you can replace the calculation with your own, and enter "Weight" directly as the optional second line of the csv time series files.62 It is possible to set the c.v. (or coefficient of variation calculated as the standard deviation of a time series' estimates relative to its mean) for time series as an optional second line in the csv time series file. Mark the second line in the file with "CV" in that case. From the CV we calculate the time series weight at the inverse, i.e. as the "signal to noise" ratio for the time series. The c.v. input have to be complete and positive values. Variability is assumed to be log-normal, in which case the CV is approximately equal to the standard deviation of the log prediction error. Weight is calculated from cv as equal to 1/CV!^2. Note that you can replace the calculation with your own, and enter "Weight" directly as the optional second line of the csv time series files.
