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| Main Authors: | , , , , |
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| Format: | Preprint |
| Published: |
2026
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2604.08823 |
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| _version_ | 1866917398384214016 |
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| author | Li, Songmao Qu, Kaixuan Sun, Keer Limbasia, Bhargav Nocera, Luciano |
| author_facet | Li, Songmao Qu, Kaixuan Sun, Keer Limbasia, Bhargav Nocera, Luciano |
| contents | Modern supply chain networks involve spatially distributed flows that become difficult to interpret using traditional visualization techniques, producing visual clutter that obscures actionable patterns. We present a multi-scale visual analytics dashboard that combines Semantic Zooming with Skeleton-Based Edge Bundling (SBEB). The system dynamically adapts its representation based on zoom level: bundled aggregate flows at the macro-scale, hexagonal density heatmaps at the meso-scale, and hierarchical inventory sunbursts at the micro-scale. Built on Vue3 and Deck.gl, it reduces raw orders to 202 warehouse-to-state flows. We contribute (1)a semantic zoom implementation with animated transitions that unifies edge bundling, hexagonal density aggregation, and hierarchical inventory views into a single interface; and (2)an algorithmic adaptation of SBEB for geographic origin-destination flows, introducing directional-sector clustering and adaptive detour constraints to preserve cartographic plausibility. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2604_08823 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Semantic Zooming and Edge Bundling for Multi-Scale Supply Chain Flow Visualization Li, Songmao Qu, Kaixuan Sun, Keer Limbasia, Bhargav Nocera, Luciano Human-Computer Interaction Modern supply chain networks involve spatially distributed flows that become difficult to interpret using traditional visualization techniques, producing visual clutter that obscures actionable patterns. We present a multi-scale visual analytics dashboard that combines Semantic Zooming with Skeleton-Based Edge Bundling (SBEB). The system dynamically adapts its representation based on zoom level: bundled aggregate flows at the macro-scale, hexagonal density heatmaps at the meso-scale, and hierarchical inventory sunbursts at the micro-scale. Built on Vue3 and Deck.gl, it reduces raw orders to 202 warehouse-to-state flows. We contribute (1)a semantic zoom implementation with animated transitions that unifies edge bundling, hexagonal density aggregation, and hierarchical inventory views into a single interface; and (2)an algorithmic adaptation of SBEB for geographic origin-destination flows, introducing directional-sector clustering and adaptive detour constraints to preserve cartographic plausibility. |
| title | Semantic Zooming and Edge Bundling for Multi-Scale Supply Chain Flow Visualization |
| topic | Human-Computer Interaction |
| url | https://arxiv.org/abs/2604.08823 |