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Variable-Based Spatiotemporal Trajectory Data Visualization Illustrated

文献类型：期刊论文

作者He, Jing1; Chen, Haonan2; Chen, Yijin2; Tang, Xinming3; Zou, Yebin4,5,6
刊名IEEE ACCESS
出版日期2019
卷号7页码:143646-143672
关键词Visualization trajectory data spatiotemporal data attribute multivariate trajectory
ISSN号2169-3536
DOI10.1109/ACCESS.2019.2942844
英文摘要As a frontier research topic in the field of scientific visualization, trajectory data visualization extracts valuable patterns and knowledge from trajectory data for decision support via spatiotemporal trajectory visualization techniques. We propose the concept of multivariate trajectory data and interpret two categories of attributes that are based on geographical space and abstract space. Properly analyzing multivariate trajectory data depends on many factors such as visualization task and data sparsity. Therefore, we generalize rich interactions to explore the evolution of trajectory events and transform the issue into a more intelligibly perceptual task, which derives our discussion regarding advantages and limitations of the analytical methods. This review endeavors to provide a quick and thorough cognition and comprehension with regard to fundamental features and numerous outcomes in visual analytics for trajectory data, seeks to promote comparisons and criticisms about the descriptive framework for multivariate spatiotemporal trajectory data visualization, and aims to encourage the exploration of emerging methods and techniques.
资助项目Cultural Experts and Four Batches project[20185660160] ; School of Journalism and Communication, Tsinghua University ; College of Geoscience and Surveying Engineering, China University of Mining and Technology-Beijing
WOS研究方向Computer Science ; Engineering ; Telecommunications
语种英语
WOS记录号WOS:000498831700002
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
源URL[http://119.78.100.204/handle/2XEOYT63/14952]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Chen, Haonan
作者单位1.Tsinghua Univ, Sch Journalism & Commun, Beijing 100084, Peoples R China
2.China Univ Min & Technol Beijing, Coll Geosci & Surveying Engn, Beijing 100083, Peoples R China
3.Natl Adm Surveying Mapping & Geoinformat China, Satellite Surveying & Mapping Applicat Ctr, Beijing 100048, Peoples R China
4.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China
5.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
6.Beijing GEOWAY Software Co Ltd, Beijing 100043, Peoples R China
推荐引用方式
GB/T 7714		 He, Jing,Chen, Haonan,Chen, Yijin,et al. Variable-Based Spatiotemporal Trajectory Data Visualization Illustrated[J]. IEEE ACCESS,2019,7:143646-143672.
APA He, Jing,Chen, Haonan,Chen, Yijin,Tang, Xinming,&Zou, Yebin.(2019).Variable-Based Spatiotemporal Trajectory Data Visualization Illustrated.IEEE ACCESS,7,143646-143672.
MLA He, Jing,et al."Variable-Based Spatiotemporal Trajectory Data Visualization Illustrated".IEEE ACCESS 7(2019):143646-143672.

入库方式： OAI收割

来源：计算技术研究所

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