Statistical method, device, medium and equipment for urban adjacent space edge rate
The method of segmenting urban boundaries and using vector overlay analysis to assess adjacency within buffer zones addresses the inefficiencies and inaccuracies of current edge rate calculations, providing a more precise and efficient assessment of urban adjacent spaces.
CN118607750BActive Publication Date: 2025-03-21BEIJING INSTITUTE OF SURVEYING AND MAPPING
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Patent Information
- Application Number
- CN202410407774.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-04-07
- Publication Date
- 2025-03-21
- Estimated Expiration
- 2044-04-07
AI Technical Summary
Technical Problem
Current methods for calculating the edge rate of urban adjacent spaces are time-consuming, labor-intensive, and prone to subjective errors, resulting in lower accuracy.
Method used
A method involving the segmentation of urban boundaries, determination of boundary vector data, and vector overlay analysis to assess adjacency with buffer zones, providing an objective and accurate calculation of edge rates.
Benefits of technology
This approach significantly reduces time and effort while enhancing the accuracy of edge rate calculations by eliminating subjective influences.
✦ Generated by Eureka AI based on patent content.
Abstract
The embodiment of the present invention discloses a statistical method, device, medium and equipment for the edge-conforming rate of urban adjacent spaces, and the technical field of residual data processing. The method obtains vector coverage patches of various areas around the urban adjacent spaces; segments the urban boundaries to obtain boundary vector data of each segment; uses the boundary vector data of each segment and the vector coverage patches to obtain a determination result of whether each segment is adjacent to each vector coverage patch; based on all the determination results, a statistical result of the edge-conforming rate of the urban adjacent spaces is obtained, thereby eliminating the need for manual statistics, saving time and effort, and the statistical results are not affected by subjective judgment, and the statistical results are more accurate.
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