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To enhance the usability of the inspection panel in the map viewer component, the system should introduce a smarter information aggregation mechanism. This feature would automatically summarize important information from deeper levels of the tree-structured data and present it at higher levels.
Rather than requiring users to manually expand and collapse various nodes to find relevant information about a map feature and its relations, this intelligent aggregation would allow users to gain insights from a broader perspective without diving into the details unless needed.
This smart information aggregation should be designed to prioritize and summarize the most commonly needed or important information based on the feature's context. The criteria for this prioritization could be informed by user feedback or data usage patterns.
Implementing this feature would significantly enhance the user experience by simplifying the exploration of attribute information and feature relationships, reducing the need for excessive node expansion and enabling faster access to relevant information.
There are simple cases like a child with one simple value which is then propagated up. But ideally this mechanism allows aggregation of more complex information which is propagated over multiple levels. Also consider removing the aggregation when the associated node has been expanded.
The text was updated successfully, but these errors were encountered:
To enhance the usability of the inspection panel in the map viewer component, the system should introduce a smarter information aggregation mechanism. This feature would automatically summarize important information from deeper levels of the tree-structured data and present it at higher levels.
Rather than requiring users to manually expand and collapse various nodes to find relevant information about a map feature and its relations, this intelligent aggregation would allow users to gain insights from a broader perspective without diving into the details unless needed.
This smart information aggregation should be designed to prioritize and summarize the most commonly needed or important information based on the feature's context. The criteria for this prioritization could be informed by user feedback or data usage patterns.
Implementing this feature would significantly enhance the user experience by simplifying the exploration of attribute information and feature relationships, reducing the need for excessive node expansion and enabling faster access to relevant information.
There are simple cases like a child with one simple value which is then propagated up. But ideally this mechanism allows aggregation of more complex information which is propagated over multiple levels. Also consider removing the aggregation when the associated node has been expanded.
The text was updated successfully, but these errors were encountered: