SOI: shape optimization framework for hand-drawn line features in Wemap

Abstract

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.

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