A New Typification Method for Combined Linear Building Patterns with the Resolution of Spatial Conflicts

Typification is a crucial generalization operator for maintaining the structure of building patterns in map generalization. However, in densely built-up areas, the structure of building patterns is complicated, and spatial conflicts exist not only within building patterns but also between them. Applying typification solely to individual patterns fails to resolve conflicts between them and does not adequately preserve their spatial distribution. To address these challenges, this study proposes a new typification method that treats linear building patterns with common buildings as a whole named combined linear patterns, simultaneously resolving the spatial conflict both within and between combined linear patterns. Firstly, linear building patterns and combined linear patterns are recognized, respectively, using visual perception principles and the common elements of linear building patterns. Secondly, spatial conflicts within the combined linear pattern are resolved through the segmental building reconstruction of linear building patterns and a reduction in linear building patterns at junction buildings. Finally, spatial conflicts between combined linear patterns are solved based on the position and number of conflict buildings in the patterns. The proposed method is evaluated using a building dataset from OpenStreetMap. The experimental results indicate that the proposed method can preserve the spatial distribution of building patterns with better legibility than the usual typification method for individual linear building patterns.

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Publication Details

Journal
ISPRS International Journal of Geo-Information
Published
2025-03-26
DOI
https://doi.org/10.3390/ijgi14040142
Primary Topic
3D Modeling in Geospatial Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

A New Typification Method for Combined Linear Building Patterns with the Resolution of Spatial Conflicts

Wei Zhu, Guo Qingsheng, Chuanbang Zheng, Ying Tong
ISPRS International Journal of Geo-Information
3D Modeling in Geospatial Applications
article

A New Typification Method for Combined Linear Building Patterns with the Resolution of Spatial Conflicts

Wei Zhu, Guo Qingsheng, Chuanbang Zheng, Ying Tong
article en

Abstract

Typification is a crucial generalization operator for maintaining the structure of building patterns in map generalization. However, in densely built-up areas, the structure of building patterns is complicated, and spatial conflicts exist not only within building patterns but also between them. Applying typification solely to individual patterns fails to resolve conflicts between them and does not adequately preserve their spatial distribution. To address these challenges, this study proposes a new typification method that treats linear building patterns with common buildings as a whole named combined linear patterns, simultaneously resolving the spatial conflict both within and between combined linear patterns. Firstly, linear building patterns and combined linear patterns are recognized, respectively, using visual perception principles and the common elements of linear building patterns. Secondly, spatial conflicts within the combined linear pattern are resolved through the segmental building reconstruction of linear building patterns and a reduction in linear building patterns at junction buildings. Finally, spatial conflicts between combined linear patterns are solved based on the position and number of conflict buildings in the patterns. The proposed method is evaluated using a building dataset from OpenStreetMap. The experimental results indicate that the proposed method can preserve the spatial distribution of building patterns with better legibility than the usual typification method for individual linear building patterns.

ISPRS International Journal of Geo-InformationVol. 14(4)
Wuhan University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 95%
3D Modeling in Geospatial Applications
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