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	EnsembleGraph: Interactive visual analysis of spatiotemporal behaviors in ensemble simulation data
	Shu, Qingya ; Guo, Hanqi ; Liang, Jie ; Che, Limei ; Liu, Junfeng ; Yuan, Xiaoru
	2016
英文摘要	This paper presents a novel visual analysis tool, EnsembleGraph, which aims at helping scientists understand spatiotemporal similarities across runs in time-varying ensemble simulation data. We abstract the input data into a graph, where each node represents a region with similar behaviors across runs and nodes in adjacent time frames are linked if their regions overlap spatially. The visualization of this graph, combined with multiple-linked views showing details, enables users to explore, select, and compare the extracted regions that have similar behaviors. The driving application of this paper is the study of regional emission influences over tropospheric ozone, based on the ensemble simulations conducted with different anthropogenic emission absences using MOZART-4. We demonstrate the effectiveness of our method by visualizing the MOZART-4 ensemble simulation data and evaluating the relative regional emission influences on tropospheric ozone concentrations. ? 2016 IEEE.; EI; 56-63; 2016-May
语种	英语
出处	9th IEEE Pacific Visualization Symposium, PacificVis 2016
DOI标识	10.1109/PACIFICVIS.2016.7465251
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/436177]
专题	城市与环境学院 信息科学技术学院
推荐引用方式 GB/T 7714	Shu, Qingya,Guo, Hanqi,Liang, Jie,et al. EnsembleGraph: Interactive visual analysis of spatiotemporal behaviors in ensemble simulation data. 2016-01-01.

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