Mining Evolution Patterns from Complex Trajectory Structures-A Case Study of Mesoscale Eddies in the South China Sea
文献类型：期刊论文
| 作者 | Wang, Huimeng2,3; Du, Yunyan2,3 ; Yi, Jiawei2,3; Wang, Nan2,3; Liang, Fuyuan1
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| 刊名 | ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
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| 出版日期 | 2020-07-01 |
| 卷号 | 9期号:7页码:15 |
| 关键词 | complex trajectory mesoscale eddy structural evolution frequent pattern periodic pattern |
| DOI | 10.3390/ijgi9070441 |
| 通讯作者 | Du, Yunyan(duyy@lreis.ac.cn) |
| 英文摘要 | Real-word phenomena, such as ocean eddies and clouds, tend to split and merge while they are moving around within a space. Their trajectories usually bear one or more branches and are accordingly defined as complex trajectories in this study. The trajectories may show significant spatiotemporal variations in terms of their structures and some of them may be more prominent than the others. The identification of prominent structures in the complex trajectories of such real-world phenomena could better reveal their evolution processes and even shed new light on the driving factors behind them. Methods have been proposed for the extraction of periodic patterns from simple trajectories (i.e., those with linear structure and without any branches) with a focus on mining the related temporal, spatial or semantic information. Unfortunately, it is not appropriate to directly use such methods to examine complex trajectories. This study proposes a novel method to study the periodic patterns of complex trajectories by considering the inherent spatial, temporal and topological information. First, we use a sequence of symbols to represent the various structures of a complex trajectory over its lifespan. We then, on the basis of the PrefixSpan algorithm, propose a periodic pattern mining of structural evolution (PPSE) algorithm and use it to identify the largest and most frequent patterns (LFPs) from the symbol sequence. We also identify potential periodic behaviors. The PPSE method is then used to examine the complex trajectories of the mesoscale eddy in the South China Sea (SCS) from 1993 to 2016. The complex trajectories of ocean eddies in the southeast of Vietnam show are different from other regions in the SCS in terms of their structural evolution processes, as indicated by the LFPs with the longest lifespan, the widest active range, the highest complexity, and the most active behaviors. The LFP in the southeast of Vietnam has the longest lifespan, the widest active range, the highest complexity, and the most active behaviors. Across the SCS, we found seven migration channels. The LFPs of the eddies that migrate through these channels have a temporal cycle of 17-24 years. These channels are also the regions where eddies frequently emerge, as revealed by flow field data. |
| 资助项目 | National Science Foundation of China[41671445] |
| WOS研究方向 | Physical Geography ; Remote Sensing |
| 语种 | 英语 |
| WOS记录号 | WOS:000557661100001 |
| 出版者 | MDPI |
| 资助机构 | National Science Foundation of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/158140]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Du, Yunyan |
| 作者单位 | 1.Western Illinois Univ, Dept Earth Atmospher & Geog Informat Sci, Macomb, IL 61455 USA 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Huimeng,Du, Yunyan,Yi, Jiawei,et al. Mining Evolution Patterns from Complex Trajectory Structures-A Case Study of Mesoscale Eddies in the South China Sea[J]. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,2020,9(7):15. |
| APA | Wang, Huimeng,Du, Yunyan,Yi, Jiawei,Wang, Nan,&Liang, Fuyuan.(2020).Mining Evolution Patterns from Complex Trajectory Structures-A Case Study of Mesoscale Eddies in the South China Sea.ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,9(7),15. |
| MLA | Wang, Huimeng,et al."Mining Evolution Patterns from Complex Trajectory Structures-A Case Study of Mesoscale Eddies in the South China Sea".ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION 9.7(2020):15. |
入库方式： OAI收割
来源：地理科学与资源研究所
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