In recent years,the technology and applications of visualizations on large high-resolution displays(LHDs)have received widespread attention because of its perceptual benefits and improved productivity.However,existin...In recent years,the technology and applications of visualizations on large high-resolution displays(LHDs)have received widespread attention because of its perceptual benefits and improved productivity.However,existing work on LHD visualization lacks both comprehensive guidance for design requirements and tools developed for its specific usage scenarios.In this paper,we present the scenarios,design,and implementation of DataV,a Software-as-a-Service(SaaS)visual deployment tool that enables rapid construction and cross-platform publishing of interactive visualization on LHDs.Our framework can support rich components for the high-performance rendering of multisource heterogeneous data.DataV provides a full-fledged toolchain to help the user efficiently specify layout and interactions.We present its accessibility and impressive visual effects with examples and comparison with Tableau,Power BI,VisComposer,and iVisDesigner.We also report the performance of using DataV for 3D map rendering by comparing it with deck.gl.展开更多
基金National Natural Science Foundation of China(61772456,61761136020)。
文摘In recent years,the technology and applications of visualizations on large high-resolution displays(LHDs)have received widespread attention because of its perceptual benefits and improved productivity.However,existing work on LHD visualization lacks both comprehensive guidance for design requirements and tools developed for its specific usage scenarios.In this paper,we present the scenarios,design,and implementation of DataV,a Software-as-a-Service(SaaS)visual deployment tool that enables rapid construction and cross-platform publishing of interactive visualization on LHDs.Our framework can support rich components for the high-performance rendering of multisource heterogeneous data.DataV provides a full-fledged toolchain to help the user efficiently specify layout and interactions.We present its accessibility and impressive visual effects with examples and comparison with Tableau,Power BI,VisComposer,and iVisDesigner.We also report the performance of using DataV for 3D map rendering by comparing it with deck.gl.
