After a pathname or multiple pathnames have been selected, the data associated with the pathname can be visualized. This can be done through a graphical means - plots, or through a tabular form - tabulate. Further details on plots and tables are discussed in Printing and Copying HEC-RTS Data.

Plots

There are two ways to view plots from the HEC-DSSVue main window. From the Display menu, click Plot, a Plot window will open (Figure 1). The plot window is displaying the pathnames in the Selected Pathname List (HEC-DSSVue Dialog). Another way to display a plot, is from the Main Toolbar (HEC-DSSVue Dialog), click , a Plot window will open (Figure 1).

Figure 1 HEC-DSSVue Plot Window

The parameters for the plots are labeled and color-coded, date ranges are specified along one axis, and the units of measure are specified along the other axis. The Plot window (Figure 1) can be resized by grabbing the corner of the window and dragging it to the desired size.

Areas of the plot can also be zoomed in on. From the Plot window (Figure 1), click (Zoom Tool); find the area on the plot to zoom in on and click and drag over the area. The plot will refresh, and the area within the zoom rectangle will fill the plot window. To zoom out, with the Zoom Tool selected, right-click anywhere on the plot area.

Table

There are two ways to view tabular results from the HEC-DSSVue main window. From the Display menu, click Tabulate, a Table window will open (Figure 2). The table window is displaying the pathnames in the Selected Pathname List (HEC-DSSVue Dialog). Another way to display a tabular results, is from the Main Toolbar (HEC-DSSVue Dialog), click , a Table window will open (Figure 2).

Figure 2 HEC-DSSVue Table Window

The Tabule window displays the ordinate (starting from the start date/time), the date and time stamp, and the values for the selected data sets. From the Tabule window, there are several options for displaying the tabular data (e.g., displaying commas in the number formatting, setting the precision of decimal places for your data).