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DSS Component Assessment <br />• News and User Feedback <br />A method for obtaining user feedback and long-term RGDSS support (long-term funding to keep up- <br />to-date information in the system) should also be developed. <br />4.1.8.2 System Requirements <br />All documentation should be developed in both Microsoft Word and in HTML for public distribution. <br />4.1.8.3 Specific RGDSS Issues <br />The CRDSS documentation would provide a strong model for RGDSS documentation development. <br />4.1.9 DSS Integration -Systems Integration Tools <br />4.1.9.1 Time Series Utilities <br />Analysis tools developed as part of the CRDSS tstool application that performs time series analysis <br />and manipulation would be equally useful in the RGDSS. The functionality of tstool was <br />implemented primarily to support the planning models, though the design readily allows future <br />enhancements. Tttool can read time series from HydroBase or from StateMod files. It can read <br />multiple time series and then plot them, manipulate them (fill, sum, etc.), and export them to a <br />StateMod format file. <br />Other time series analysis capability developed within CRDSS should be extensible to other RGDSS <br />components or tools. An example of CRDSS data analysis capability allows for irregularly sampled <br />data to be used in analysis. This capability will be necessary to analyze some well data in the RGDSS. <br />4.1.9.2 Visualization Tools <br />Visualization capability ranging from simple plotting to product-oriented displays are required in the <br />RGDSS. GIS interfaces allow for display and analysis of spatial coverages. Visualization tools <br />supported by public domain software that allow users to view, manipulate, and print displays are very <br />important to a successful RGDSS. <br />4.1.9.3 Data Management Interfaces <br />DMls are computer programs that allow the use of specific models such as StateMod with a generic <br />database. The DMIs retrieve data from the database, format the data for a particular use, and may also <br />support data manipulation. DMIs are a central part of the data-centered approach mentioned earlier. <br />There are several advantages to this approach. Data can be stored in a logical and efficient manner <br />that improves the performance of the database access and makes the database maintenance easier. <br />Also, the data-centered approach makes it easier to add or replace a system analysis or modeling <br />component by simply writing a new DMI or by modifying an existing one. Finally, the use of DMIs <br />makes the creation of model input easier and less prone to error, and it makes duplication of results <br />easier. The CRDSS system contains the following DMIs: <br />• demandts -This DMI processes demand time series, estimates system efficiencies, and <br />formats crop distribution pattern data for StateMod. <br />• makenet -This DMI prepares a line diagram of the model network and the network files <br />for SateMod. <br />a454/report/final/comp. doc 07/2&~OS Y-O <br />