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- Click the Next button and then browse for the shapefile to ingest. Once a file is selected, the user can optionally add location tags to the dataset as metadata. In the future, MAEviz will use this information to determine which datasets are near or inside a region of interest. The screen should look similar to the figure below except that the file you chose will be in the text field.
- Click the Next button and then select Buried Pipeline Inventory from the drop down menu for data type. This tells MAEviz what type of data is being ingested so that the appropriate analyses are run on the data and where possible, UI fields can be auto-populated. The screen should look similar to the figure below.
- Click the Next button. You should now see a dialog that allows you to map your datasets attributes to the expected attributes. For example, whichever column contains the pipe material type should be mapped to the pipetype attribute. For the diameter attribute, select the column that contains the diameter information. The unit type of the diameter will also need to be selected from the Unit drop down menu (e.g. centimeters). MAEviz needs this information for any conversions that need to occur. See the figure below for an example mapping. Fields are case sensitive so JointType is different from jointtype.
