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Integrating algebraic multigrid method in spatial aggregation of massive trajectory data
Wang, Siying1; Du, Yunyan2; Jia, Chen1; Bian, Meng1; Fei, Teng1
2018
Source PublicationINTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
ISSN1365-8816
Volume32Issue:12Pages:2477-2496
Corresponding AuthorFei, Teng(feiteng@whu.edu.cn)
AbstractThe advanced technologies in location-based services and telecom have yield large volumes of trajectory data. Understanding these data effectively requires intuitive yet accurate visual analysis. The visual analysis of massive trajectory data is challenged by the numerous interactions among different locations, which cause massive clutter. This paper presents a new methodology for visual analysis by integrating algebraic multigrid (AMG) method in data aggregation. The non-parametric method helps to build a multilayer node representation from a graph which is extracted from trajectory data. The comparison with AMG and other methods shows that AMG method is more advanced in both the spatial representation and the importance of nodes. The new method is tested with real-world dataset of cell-phone signalling records in Beijing. The results show that our method is suitable for processing and creating abstraction of massive trajectory dataset, revealing inherent patterns and creating intuitive and vivid flow maps.
KeywordSpatial aggregation trajectory visualization algebraic multigrid key node identification
DOI10.1080/13658816.2018.1512713
WOS KeywordMOBILITY ; VISUALIZATION ; MOVEMENT ; ANALYTICS ; DYNAMICS ; PATTERNS
Indexed BySCI
Language英语
Funding ProjectNational Key Research and Development Plan of China[2017YFB0503601]
Funding OrganizationNational Key Research and Development Plan of China
WOS Research AreaComputer Science ; Geography ; Physical Geography ; Information Science & Library Science
WOS SubjectComputer Science, Information Systems ; Geography ; Geography, Physical ; Information Science & Library Science
WOS IDWOS:000451525200007
PublisherTAYLOR & FRANCIS LTD
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Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/51499
Collection中国科学院地理科学与资源研究所
Corresponding AuthorFei, Teng
Affiliation1.Wuhan Univ, Sch Resource & Environm Sci, Wuhan, Hubei, Peoples R China
2.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China
Recommended Citation
GB/T 7714
Wang, Siying,Du, Yunyan,Jia, Chen,et al. Integrating algebraic multigrid method in spatial aggregation of massive trajectory data[J]. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE,2018,32(12):2477-2496.
APA Wang, Siying,Du, Yunyan,Jia, Chen,Bian, Meng,&Fei, Teng.(2018).Integrating algebraic multigrid method in spatial aggregation of massive trajectory data.INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE,32(12),2477-2496.
MLA Wang, Siying,et al."Integrating algebraic multigrid method in spatial aggregation of massive trajectory data".INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE 32.12(2018):2477-2496.
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