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...
| Authors | Diansheng Guo, Hai Jin |
|---|---|
| Primary category | cs.SI |
| Published | 23 April 2026 |
| Last updated at source | 23 April 2026 |
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