Pan-Map Continuity Transformation Across Point, Line, Surface, and Volume
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Solution Overview
Problem
Existing pan-maps lack continuity in information expression, making it difficult to achieve seamless transformation between different map types and intuitively display spatial object information from multiple angles and directions, which affects user understanding and the efficient association, integration, and transmission of multiple information.
Innovation Solution
A method for continuous expression-transformation of pan-maps based on continuity features, involving the construction of a pan-map classification system, extraction of transformation rules, and application of techniques like regularization, exaggeration, dimension transforming, and metaphor to enable seamless transitions between map types.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traditional discrete map expression is used, then map simplicity is maintained, but information richness and continuity are insufficient
Solution Approach 1:
The patent implements dynamic map transformation by enabling continuous transition between different pan-map types (point, line, surface, volume maps) based on user interaction and spatial object attributes. The system dynamically adjusts map expression forms to maintain information continuity while adapting to different visualization needs, resolving the contradiction between information richness and system complexity.
Solution Approach 2:
The patent creates a universal pan-map system that can express multiple map types (point, line, surface, volume) within a single unified framework. This multi-functional system maintains topological relationships across different map expressions, enabling continuous information representation without requiring separate discrete map systems, thus improving information continuity while managing complexity through unification.
2Loss of information
If multiple pan-map types are introduced to express richer information, then information richness improves, but continuity between map types is lost
Solution Approach 1:
The patent utilizes parameter changes in spatial object attributes (dimension, topology, density) to continuously transform between different pan-map types. By adjusting these parameters, the system maintains information continuity while adapting the map expression to suit different visualization requirements, resolving the contradiction between information continuity and map type flexibility.
Solution Approach 2:
The patent implements dimensionality transformation between map types (point→line→surface→volume) while preserving topological relationships. This dimensional transition enables continuous information expression across different map forms, allowing the system to maintain both information continuity and adaptability to various visualization needs through systematic dimension changes.
3Loss of information
If continuous transformation between map types is implemented, then information continuity improves, but transformation complexity increases
Solution Approach 1:
The patent segments the continuous transformation process into discrete transformation rules based on spatial object attributes and topological relationships. By dividing the complex transformation into manageable segments (point→line, line→surface, surface→volume), the system achieves information continuity while reducing transformation complexity through structured rule decomposition.
Solution Approach 2:
The patent introduces topological relationships as intermediary elements that mediate between different map types during transformation. These topological invariants serve as continuous connectors throughout the transformation process, enabling information continuity while simplifying the transformation rules by maintaining consistent topological constraints across all map types.
Data Source
AI summary
A method and a terminal for continuous expression-transformation of pan-maps based on continuity features, and the method includes: obtaining pan-map type cases, classifying and categorizing the pan-map type cases to obtain a plurality of map types, and constructing a pan-map classification system; extracting continuous transformation association information between the plurality of map types according to the pan-map classification system, and constructing continuous transformation rules of the pan-map; performing, based on the continuous transformation rules of the pan-map, continuous expression-transformation processing on a plurality of pan-map types, and outputting continuous expression-transformation results of the plurality of pan-map types. The method can enhance the information richness and continuity of the map, and improve efficiency of information association, integration and transmission.