Integrating algebraic multigrid method in spatial aggregation of massive trajectory data
文献类型：期刊论文
| 作者 | Wang, Siying1; Du, Yunyan2 ; Jia, Chen1; Bian, Meng1; Fei, Teng1
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| 刊名 | INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
 |
| 出版日期 | 2018 |
| 卷号 | 32期号:12页码:2477-2496 |
| 关键词 | Spatial aggregation trajectory visualization algebraic multigrid key node identification |
| ISSN号 | 1365-8816 |
| DOI | 10.1080/13658816.2018.1512713 |
| 通讯作者 | Fei, Teng(feiteng@whu.edu.cn) |
| 英文摘要 | The 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. |
| WOS关键词 | MOBILITY ; VISUALIZATION ; MOVEMENT ; ANALYTICS ; DYNAMICS ; PATTERNS |
| 资助项目 | National Key Research and Development Plan of China[2017YFB0503601] |
| WOS研究方向 | Computer Science ; Geography ; Physical Geography ; Information Science & Library Science |
| 语种 | 英语 |
| WOS记录号 | WOS:000451525200007 |
| 出版者 | TAYLOR & FRANCIS LTD |
| 资助机构 | National Key Research and Development Plan of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/51498]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Fei, Teng |
| 作者单位 | 1.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 |
| 推荐引用方式 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. |
入库方式： OAI收割
来源：地理科学与资源研究所
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