March 7, 2024, 5:42 a.m. | Juntong Chen, Haiwen Huang, Huayuan Ye, Zhong Peng, Chenhui Li, Changbo Wang

cs.LG updates on arXiv.org arxiv.org

arXiv:2403.03449v1 Announce Type: cross
Abstract: The voluminous nature of geospatial temporal data from physical monitors and simulation models poses challenges to efficient data access, often resulting in cumbersome temporal selection experiences in web-based data portals. Thus, selecting a subset of time steps for prioritized visualization and pre-loading is highly desirable. Addressing this issue, this paper establishes a multifaceted definition of salient time steps via extensive need-finding studies with domain experts to understand their workflows. Building on this, we propose a …

abstract arxiv challenges cs.hc cs.lg data data access data visualization geospatial loading monitors nature scale simulation temporal type visualization web

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