Dynamic Geographic Data Summarization for Map Clutter Reduction
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Solution Overview
Problem
Conventional techniques for plotting data points on geographic maps become cluttered and difficult to use when displaying a large number of geographically-associated data points, such as homes for sale, as they are only effective at certain zoom levels, leading to a need for improved summarization methods that adapt to varying zoom levels.
Innovation Solution
A software facility that automatically performs varying levels of summarization based on user-selected zoom levels, using a deterministic or population analysis approach to determine optimal summarization levels, and employs data aggregation, representative point selection, or semantic summarization to combine data points into summary values, allowing users to filter data by attributes like price, bedrooms, and status.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If individual data points are displayed on a geographic map, then detailed information about each data point is provided, but the display becomes cluttered and difficult to use when showing a large number of data points
Solution Approach 1:
The patent segments data points into hierarchical groups (e.g., neighborhoods, cities, regions) that can be displayed at different levels of aggregation. Users can navigate between individual data points and grouped summaries, allowing detailed information to be preserved in the data structure while presenting simplified views on the map interface to reduce clutter.
Solution Approach 2:
The patent implements dynamic display behavior where the level of detail shown for data points automatically adjusts based on zoom level, pan position, and user interaction. At broader zoom levels, data points are aggregated into summary markers; as users zoom in, individual data points are revealed. This dynamic adaptation maintains usability across different viewing scales while preserving access to detailed information.
2Quantity of substance
If conventional mapping techniques display all data points, then complete data coverage is achieved, but the map becomes cluttered at certain zoom levels
Solution Approach 1:
The patent merges multiple individual data points into aggregated summary markers when they fall within the same geographic region or cluster at a given zoom level. This merging reduces the number of discrete elements displayed on the map, improving display clarity while preserving the underlying complete data set. Users can access individual data points by interacting with the aggregated markers or zooming in.
Solution Approach 2:
The patent changes the display parameters of data points based on zoom level and other contextual factors. At different zoom levels, data points may be displayed as individual markers, aggregated clusters, or statistical summaries. This parameter adjustment allows the system to maintain complete data coverage in the backend while adapting the visual representation to match the appropriate level of detail for each viewing context.
3Ease of operation
If data points are summarized at higher zoom levels, then display clarity is improved, but access to individual data point details becomes less direct
Solution Approach 1:
The patent introduces intermediary elements such as pop-up information windows, side panels, and contextual menus that serve as mediators between aggregated data displays and individual data point details. When users interact with summarized data markers, these intermediary interfaces provide pathways to access detailed information about individual data points without requiring direct manipulation of each marker, thus maintaining both display clarity and information accessibility.
Solution Approach 2:
The patent performs preliminary actions by pre-loading and preparing detailed data about individual data points in the background, and by creating interactive pathways from aggregated displays to individual details. This preliminary preparation ensures that when users want to access detailed information, it is readily available through intuitive interaction mechanisms, reducing the effort required to transition from summary views to detailed views.
Data Source
AI summary
A facility for summarizing a set of data points each having a geographic location is described. The facility specifies the display of a map showing a geographic area the specified by a user. The facility identifies a number of geographic regions in the geographic area that are of a type that is automatically selected by the facility in response to the identity of the geographic area. The map indicates, for a least one of the identified geographic regions, information that summarizes one or more aspects of the data points of the set that have geographic locations contained in the identified geographic region.