SOI: shape optimization framework for hand-drawn line features in Wemap
Wemap is a new form of personalized mapping emerging on the mobile phone in the we-media era. Its characteristics are micro-content, ease of use, and rapid creation, catering to users’ diverse needs for geographic information expression. Hand-drawing via touchscreen is the primary method for generat...
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2025-08-01
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| Series: | International Journal of Digital Earth |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/17538947.2025.2514706 |
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| _version_ | 1849224333086425088 |
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| author | Ben Ma Haowen Yan Jingzhong Li Yanzhe Sun Zhuo Wang Xiaolong Wang |
| author_facet | Ben Ma Haowen Yan Jingzhong Li Yanzhe Sun Zhuo Wang Xiaolong Wang |
| author_sort | Ben Ma |
| collection | DOAJ |
| description | Wemap is a new form of personalized mapping emerging on the mobile phone in the we-media era. Its characteristics are micro-content, ease of use, and rapid creation, catering to users’ diverse needs for geographic information expression. Hand-drawing via touchscreen is the primary method for generating Wemaps. However, due to finger occlusion and screen resolution limitations, user-drawn line features have an irregular shape and an uneven density of point coordinates composing a line, leading a we-map has a challenge in ensuring both visual appeal and informational clarity. To address this problem, this study proposes a Segment-Optimize-Integrate (SOI) framework based on the ‘divide and conquer’ strategy, aiming to optimize the geometry of hand-drawn lines. Experimental results demonstrate that (1) the SOI framework achieves a superior balance among smoothness, target similarity, and computational efficiency, comparing with the existing methods (e.g. Li-Openshaw, Douglas-Peucker, Savitzky–Golay, and Bézier curve fitting). (2) Users evaluation indicate that the average satisfaction score is 4.09 (on a 5.00 point scale), with approximately 83% of ratings falling in the 4–5 range. These findings suggest that SOI significantly enhances the visual quality and clarity of hand-drawn line features, offering an effective solution for Wemap creation on mobile platforms. |
| format | Article |
| id | doaj-art-f01ad5a74e724b6f8b1b325e7dda54ee |
| institution | Kabale University |
| issn | 1753-8947 1753-8955 |
| language | English |
| publishDate | 2025-08-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | International Journal of Digital Earth |
| spelling | doaj-art-f01ad5a74e724b6f8b1b325e7dda54ee2025-08-25T11:28:24ZengTaylor & Francis GroupInternational Journal of Digital Earth1753-89471753-89552025-08-0118110.1080/17538947.2025.2514706SOI: shape optimization framework for hand-drawn line features in WemapBen Ma0Haowen Yan1Jingzhong Li2Yanzhe Sun3Zhuo Wang4Xiaolong Wang5Faculty of Geomatics, Lanzhou Jiaotong University, Lanzhou, People’s Republic of ChinaFaculty of Geomatics, Lanzhou Jiaotong University, Lanzhou, People’s Republic of ChinaFaculty of Geomatics, Lanzhou Jiaotong University, Lanzhou, People’s Republic of ChinaCollege of Earth and Environmental Sciences, Lanzhou University, Lanzhou, People’s Republic of ChinaSchool of Resource and Environmental Sciences, Wuhan University, Wuhan, People’s Republic of ChinaCollege of Earth and Environmental Sciences, Lanzhou University, Lanzhou, People’s Republic of ChinaWemap is a new form of personalized mapping emerging on the mobile phone in the we-media era. Its characteristics are micro-content, ease of use, and rapid creation, catering to users’ diverse needs for geographic information expression. Hand-drawing via touchscreen is the primary method for generating Wemaps. However, due to finger occlusion and screen resolution limitations, user-drawn line features have an irregular shape and an uneven density of point coordinates composing a line, leading a we-map has a challenge in ensuring both visual appeal and informational clarity. To address this problem, this study proposes a Segment-Optimize-Integrate (SOI) framework based on the ‘divide and conquer’ strategy, aiming to optimize the geometry of hand-drawn lines. Experimental results demonstrate that (1) the SOI framework achieves a superior balance among smoothness, target similarity, and computational efficiency, comparing with the existing methods (e.g. Li-Openshaw, Douglas-Peucker, Savitzky–Golay, and Bézier curve fitting). (2) Users evaluation indicate that the average satisfaction score is 4.09 (on a 5.00 point scale), with approximately 83% of ratings falling in the 4–5 range. These findings suggest that SOI significantly enhances the visual quality and clarity of hand-drawn line features, offering an effective solution for Wemap creation on mobile platforms.https://www.tandfonline.com/doi/10.1080/17538947.2025.2514706Wemaphand-drawn mappingsegmentation point detectionline segment classification |
| spellingShingle | Ben Ma Haowen Yan Jingzhong Li Yanzhe Sun Zhuo Wang Xiaolong Wang SOI: shape optimization framework for hand-drawn line features in Wemap International Journal of Digital Earth Wemap hand-drawn mapping segmentation point detection line segment classification |
| title | SOI: shape optimization framework for hand-drawn line features in Wemap |
| title_full | SOI: shape optimization framework for hand-drawn line features in Wemap |
| title_fullStr | SOI: shape optimization framework for hand-drawn line features in Wemap |
| title_full_unstemmed | SOI: shape optimization framework for hand-drawn line features in Wemap |
| title_short | SOI: shape optimization framework for hand-drawn line features in Wemap |
| title_sort | soi shape optimization framework for hand drawn line features in wemap |
| topic | Wemap hand-drawn mapping segmentation point detection line segment classification |
| url | https://www.tandfonline.com/doi/10.1080/17538947.2025.2514706 |
| work_keys_str_mv | AT benma soishapeoptimizationframeworkforhanddrawnlinefeaturesinwemap AT haowenyan soishapeoptimizationframeworkforhanddrawnlinefeaturesinwemap AT jingzhongli soishapeoptimizationframeworkforhanddrawnlinefeaturesinwemap AT yanzhesun soishapeoptimizationframeworkforhanddrawnlinefeaturesinwemap AT zhuowang soishapeoptimizationframeworkforhanddrawnlinefeaturesinwemap AT xiaolongwang soishapeoptimizationframeworkforhanddrawnlinefeaturesinwemap |