AI RESEARCH
XFlowMap: Cross-Scale Generalization and Mapping of Massive Origin-Destination Data
arXiv CS.CV
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ArXi:2605.18777v1 Announce Type: cross 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.