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What are Dirty Areas?

Published in Network Topology 2 mins read

Dirty areas, in the context of network topology and feature editing, are visual markers that indicate where edits to features have occurred and need to be incorporated into the network topology. They flag regions where changes require further processing to maintain data integrity.

Understanding Dirty Areas

When you modify feature geometry, terminal configurations, associations, the subtype field, or attributes designated as network attributes, dirty areas are automatically generated. These areas act as a notification system, informing you that the network topology in those regions is potentially outdated and needs to be updated.

How Dirty Areas are Created

Here's a breakdown of the scenarios that trigger the creation of dirty areas:

  • Feature Geometry Edits: Any modification to the shape or location of a feature.
  • Terminal Configuration Changes: Alterations to the way a feature connects to the network.
  • Association Updates: Changes in the relationships between features.
  • Subtype Field Modifications: Edits to the subtype classification of a feature.
  • Network Attribute Changes: Adjustments to attribute values that are defined as integral to the network.

The Importance of Addressing Dirty Areas

Ignoring dirty areas can lead to inconsistencies and errors in your network representation. Failing to update the network topology after edits means the system might not accurately reflect the current state of the network, impacting analyses and decision-making.

Resolving Dirty Areas

The process of resolving dirty areas typically involves validating and updating the network topology. This ensures that the changes reflected by the dirty areas are properly integrated into the network model.

In summary, dirty areas are crucial for managing and maintaining the integrity of a network topology when edits are made to features and their associated data. They serve as visual cues to prompt necessary updates and ensure the network representation remains accurate.

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