Checking for unnecessary pseudo nodes

When polylines have shared nodes and identical attribution on editable fields, the shared node is often unnecessary. For example, two roads that share a node and have the same attribution can be merged into one road.

The Unnecessary Nodes check finds polyline features that have identical attribution and a shared node from a single feature class. The chosen feature class must be part of a database topology. Optionally, fields that are considered feature-level metadata fields can be excluded from consideration. This check can be run on an entire feature class, a subtype, or a set of features that have been selected using a SQL query.

When the check is run, the topology graph is used to determine whether features share a node and have editable fields that are the same. Features that do are reported as results of the check.

Once you have defined the criteria for the check, you can configure the notes and a severity rating. The notes allow you to provide a more specific description for the feature that has been written to the Reviewer table and are copied to the Notes field in the Reviewer table. The severity rating allows you to indicate how important the results from a check are in terms of your quality assurance/quality control processes. The lower the number, the greater the priority the check's results have.

Pasos:

1. Start ArcMap.
   Sugerencia:

   If the ArcMap - Getting Started dialog box appears, you can open a new or existing map document. You can also check the Do not show this dialog box in the future check box and click Open.

2. On the main menu, click Customize > Toolbars > Data Reviewer.
3. Click the Select Data Check drop-down arrow on the Data Reviewer toolbar, click the plus sign (+) next to Topology Checks, then click Unnecessary Nodes Check.

   The Unnecessary Nodes Check Properties dialog box appears.
4. If necessary, type a unique name for the check in the Check Title text box.
   Nota:

   The check title can be used to describe the conditions you are looking for with the check. This is useful when you have multiple instances of the same check to validate the same feature classes or tables but with different validation parameters.

5. Click the Feature Class/Subtype drop-down arrow to choose the feature class and subtype on which to run the check.
6. To run the check on the entire feature class and save this setting, check the Always Run on Full Database check box.
7. To run the check on specific features in a feature class, click SQL to construct a SQL query.
8. If you want to ignore feature-level metadata, do the following:
   1. Check the Attributes to Ignore (Feature Level Metadata) check box.
   2. Click Select Attributes.

      The Attributes To Ignore dialog box appears.

      
   3. Check the check boxes next to the names of the attributes you want to ignore when finding spatial relationships.
      Nota:

      To check or uncheck all the check boxes next to the attribute names, click Select All or Clear All, respectively.

   4. Click OK.

      The Unnecessary Pseudo Nodes Check Properties dialog box appears.

9. If necessary, type descriptive text for the check results in the Notes text box in the Reviewer Remarks area.
10. Click OK.
11. Click the Run Data Check button on the Data Reviewer toolbar.

    The Features to Validate dialog box appears.
12. Choose an option in the Features to Validate area.
    • Selection Set—The check is run on the features that are currently selected in the map.
    • Current Extent—The check is run on the current map extent, which is controlled by the map scale.
    • Definition Query—The check is run on the features that are displayed based on definition queries that have been created for the feature class.
    • Full Database—The check is run on all the features in the feature class.
13. To run the check only on features that have been edited in a versioned workspace, check the Changed Features Only check box.
    Nota:

    The Changed Features Only option is available only for a versioned database.

14. Click OK.