Digital Map Layer Filtering for Independent GIS Views
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Solution Overview
Problem
Conventional GIS interfaces lack the ability for users to apply multiple filters independently to map and data entry views, limiting the interaction and visualization of complex datasets, thereby hindering comprehensive data analysis and insight generation.
Innovation Solution
A graphical user interface featuring a multi-layer map and data entry panel that allows users to apply filters independently to both, with a base layer from a third-party provider and additional layers overlaying data, enabling coordinate clusters and metadata tags to be displayed and toggled, and a list view of data entries to be managed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional GIS interfaces use a single map layer with limited filtering, then the interface remains simple, but the ability to independently filter map and data entry views is limited
Solution Approach 1:
The map interface is segmented into multiple independent layers (base layer, coordinate cluster layer, data entry node layer) that can be filtered and managed separately. Each layer responds to specific user inputs and can be independently controlled, allowing the map view and data entry panel to apply different filters simultaneously without interfering with each other.
Solution Approach 2:
The interface transitions from a two-dimensional view to a three-dimensional layered structure by adding vertical layering to the map display. This enables multiple data representations to coexist at different vertical levels (z-index), with each layer independently filterable while maintaining visual hierarchy and spatial relationships.
2Ease of operation
If users can only select data entries from a predefined list, then the interface remains simple, but the interactive management of complex datasets is restricted
Solution Approach 1:
The data entry panel transforms from a static predefined list to a dynamic, multi-criteria filterable list. Users can apply multiple independent filters (metadata tags, date ranges, categories) to dynamically refine the data entries displayed in both the panel and map view, enabling flexible interactive management of complex datasets while maintaining ease of use through intuitive filter controls.
3Loss of information
If multiple filters are applied independently to map and data entry views, then data visualization is enhanced, but the interface complexity increases
Solution Approach 1:
The filtering system is segmented into independent filter modules for the map view and data entry panel, each with its own set of metadata tags and filtering criteria. This segmentation allows multiple filters to be applied simultaneously to different views without creating a monolithic complex interface, as each filter operates independently on its designated layer or panel.
4Adaptability or versatility
If a multi-layer map structure is implemented, then data overlay and filtering capability is improved, but the rendering complexity increases
Solution Approach 1:
The rendering system manages multiple map layers by introducing a vertical dimension (z-index) to organize layers hierarchically. The base layer, coordinate cluster layer, and data entry node layer are rendered at different vertical levels, allowing complex data overlays to be managed systematically through layer stacking rather than requiring complex spatial management algorithms.
Data Source
AI summary
A computing server may cause to display, at a client device, a graphical user interface that comprises a map panel and a data entry panel. The map panel comprises a multi-layer map. The multi-layer map comprises a base layer corresponding to a tile map retrieved from a third-party map data provider and additional layers that overlay data from the computer server to the base layer. The computing server may receive a user input interacting with the graphical user interface. The computing server may determine, based on the user input, a view area of the base layer, the view area corresponding to a geographical area and a zoom level on the base layer. A computing server may determine, based on the view area, coordinate clusters that fall within the view area, the coordinate clusters representing a predetermined set of locations that are to be highlighted in the map panel.