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Paper · arXiv

XFlowMap: Cross-Scale Generalization and Mapping of Massive Origin-Destination Data

Mapping large origin-destination (OD) datasets remains challenging because flow maps become cluttered, meaningful patterns occur at multiple spatial scales, and existing flow-mapping approaches frequently rely on predefined aggregation units or manual generalization. This paper presents XFlowMap, a framework for the cross-scale generalization and mapping of massive OD data. Specifically, the framework integrates cross-scale flow pattern (cluster) detection, automated flow map generalization, and a new cartographic representation for analyzing and visualizing complex origin-destination flow structures. The approach detects salient flow patterns at their appropriate origin and destination s...

AuthorsDiansheng Guo, Hai Jin
Primary categorycs.SI
Published23 April 2026
Last updated at source23 April 2026
cs.SIcs.CV
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