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TSTool_DatastoreReference_10-21-00
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TSTool_DatastoreReference_10-21-00
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Last modified
8/28/2013 3:06:30 PM
Creation date
8/28/2013 2:26:37 PM
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Template:
Decision Support Systems
Title
TSTool - User's Manual - Version 10.21.00 - Datastore Reference
Description
Datastore Reference
Decision Support - Doc Type
Software Documentation
Date
7/14/2013
DSS Category
DMI Utilities
Contract/PO #
C153966A
Prepared By
Riverside Technology, Inc.
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DateValue Input Type <br /> Appendix - DateValue Input Type - 3 <br />DateValue Files and Standard Time Series Properties <br /> <br />The standard time series identifier for DateValue files is as follows : <br /> <br />Location.DataSource.DataType.Interval.Scenario~DateValue~PathToFile <br /> <br />Because DateVal ue time series files are a persistent storage format for in -memory time series objects, the <br />properties stored in the file closely match the standard time series properties of the objects. In particular, <br />the time series data type, units, and missing data v alue are consistent with time series header information. <br />The TSID property in a DateValue file is directly applied to time series objects read from the file, <br />allowing explicit identification of the time series in the file, regardless of the name of the fi le. This <br />allows multiple time series to be saved in a single file. The data source typically agrees with that <br />determined from a data -supplying agency or model that generates the data. <br /> <br />Limitations <br /> <br />DateValue files have the following limitations: <br /> <br />• The hea der information in DateValue files may be too technical for some general tools. However, <br />simple delimited files require additional information for TSTool to properly handle the data as time <br />series with properties . Spreadsheets can import DateValue files easily by ignoring the header lines. <br />• Because date/time values are included on every data line, processing DateValue time series files <br />requires more disk space and processing time. However, using the dates on each line also allows gaps <br />in data to be omitte d from the file. Inclusion of the date/times for each data point is considered a <br />reasonable trade -off to ensure data quality and readability. Many other time series file formats also <br />include the date/time on each line. <br /> <br />Examples <br /> <br />The following is an exam ple file for day interval data with data flags: <br /> <br /># <br /># <br />Delimiter = " " <br />NumTS = 1 <br />TSID = "MyLoc..MyData.Day" <br />Alias = "MyLoc " <br />Description = "Test data, pattern" <br />DataType = "MyData" <br />Units = "CFS" <br />MissingVal = -999.0000 <br />DataFlags = true <br />Start = 1950 -01 -01 <br />End = 1951 -03 -12 <br /># <br /># Time series comments/histories: <br /># <br /># <br /># Creation history for time series 1 (TSID=MyLoc..MyData.Day Alias=MyLoc ): <br /># <br /># Created new time series with interval determined from TSID "MyLoc..MyData.Da y" <br /># Set 1950 -01 -01 to 1951 -03 -12 to pattern=5.000,10.000,12.000,13.000,75.000, <br /># flags=Flag1,Flag2,,Flag4,Flag5 <br /># <br />#EndHeader <br />25
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