Map-Based GUI for Spatial Data Visualization and Extraction
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Solution Overview
Problem
Current web GIS services, e-commerce interfaces for address-based datasets, and local search services lack comprehensive spatial and temporal analysis tools, leading to inefficiencies for users who need to combine multiple technologies for temporal-spatial analysis and data extraction, resulting in increased time and costs.
Innovation Solution
A system integrating web GIS, e-commerce, and local search services with a map-based GUI that overlays translucent views for simultaneous display of aggregated and disaggregated data, enabling interlocked queries and 3-D temporal analysis, allowing users to view and purchase address-based datasets in a spatial context before purchasing, and providing tools for data extraction and visualization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If users combine multiple technologies (web GIS, e-commerce interfaces, local search services) for temporal-spatial analysis and data extraction, then analysis capability is improved, but system complexity and cost increase
Solution Approach 1:
The patent combines web GIS services, e-commerce interfaces for address-based datasets, and local search services into a single integrated platform. The system merges multiple previously separate technologies (mapping services, data providers, search engines) into one unified system that provides temporal-spatial analysis, data extraction, and visualization capabilities without requiring users to integrate multiple external tools
Solution Approach 2:
The integrated platform performs multiple functions simultaneously: it provides spatial visualization, temporal analysis, data extraction, and e-commerce transactions within a single system. The platform serves diverse user needs (analysis, purchasing, searching) through a unified interface, eliminating the need for separate specialized tools
2Adaptability or versatility
If users combine multiple technologies for temporal-spatial analysis, then analysis functionality is improved, but time consumption increases
Solution Approach 1:
The system merges web GIS, data provider interfaces, and search services into one platform, allowing users to perform temporal-spatial analysis without switching between multiple applications. All analysis functions are available in a single location, reducing the time required to access and integrate data from multiple sources
3Ease of operation
If e-commerce interfaces provide data purchase without spatial context, then transaction simplicity is improved, but data selection accuracy deteriorates
Solution Approach 1:
The system adds a spatial dimension to the traditional e-commerce data purchase interface. Instead of purely tabular or form-based selection, users can visualize data geographically on maps, allowing them to assess spatial distribution and context before purchasing. This maintains transaction simplicity while dramatically improving data selection accuracy through visual spatial feedback
4Device complexity
If web GIS services provide only aggregated data display, then system simplicity is improved, but analytical depth deteriorates
Solution Approach 1:
The system dynamically adjusts between aggregated and disaggregated data views based on user interaction and zoom level. At broader scales, data is displayed in aggregated form for overview; at closer zoom levels, the system automatically provides disaggregated individual records. This dynamic adaptation maintains system simplicity while enabling deep analytical exploration when needed
Data Source
AI summary
A displayed map is overlaid with a map-based graphical user interface (GUI). The GUI provides one or more related translucent views corresponding to the displayed map, where each view is associated with a dataset. The GUI also provides interlocked queries and analysis tools to probe the dataset. Each view comprises a polygon layer corresponding to the displayed map and a point layer corresponding to the displayed map, where the polygon layer and the point layer work in tandem to simultaneously display both aggregated and disaggregated data across the displayed map. A selection of a specific item of the point layer or a sub-region of the polygon layer is received from the user. In response, both the point layer and the polygon layer are modified so as to provide additional selectable information corresponding to the received selection and also additional selectable information that may be of interest to the user.