AHGW:Time Series Grapher Setup
The Time Series Grapher Setup dialog is accessed by selecting Arc Hydro GW | Time Series Grapher Setup from the Arc Hydro Groundwater Toolbar. It has the following sections, options, and buttons:
- Features section
- Layer – Select the desired layer from the drop-down.
- Unique ID Field – Select the unique ID field from the drop-down.
- Time Series section
- Table – Select the desired table from the drop-down.
- Feature Identifier Field – Select the field containing the feature identifier from the drop-down.
- Date/Time Field – Select the field containing date/time data from the drop-down.
- Value Field – Select the desired value from the drop-down.
- Enable Filtering by Variable ID – Turn on to enable filtering by the options selected in the following two fields:
- Variable ID Field – Select from the drop-down the field containing the variable ID.
- Variable ID – Select the desired variable ID from the drop-down.
- OK – Save changes and close the Time Series Grapher Setup dialog.
- Cancel – Discard changes and close the Time Series Grapher Setup dialog.
Analysis of time series data (e.g. water quality, water levels, discharge, etc.) is an important part of hydrologic analysis. Arc Hydro provides a design for storing time series data as tabular information related to spatial features (e.g. wells, gages). The Arc Hydro design relates time series values with spatial features through the HydroID-FeatureID relationship. Every time series value is indexed by a Date/time and by a location through a FeatureID that relates to a spatial feature. For example, water levels recorded in a specific well are indexed with the HydroID of the well.
The Time Series Grapher tool automates the creation of time series plots (e.g. groundwater levels, concentrations). The tool is an interactive tool that allows users to click on features and plot related time series data. The user first sets up the tool by specifying certain options.
Once the setup is complete the user can click on features in the map to create the plot of associated time series.