Tree-based approach for exploring marine spatial patterns with raster datasets
文献类型：期刊论文
| 作者 | Liao, Xiaohan1; Xue, Cunjin2,3; Su, Fenzhen1
|
| 刊名 | PLOS ONE
 |
| 出版日期 | 2017-05-16 |
| 卷号 | 12期号:5页码:19 |
| ISSN号 | 1932-6203 |
| DOI | 10.1371/journal.pone.0177438 |
| 通讯作者 | Xue, Cunjin(xuecj@radi.ac.cn) |
| 英文摘要 | From multiple raster datasets to spatial association patterns, the data-mining technique is divided into three subtasks, i.e., raster dataset pretreatment, mining algorithm design, and spatial pattern exploration from the mining results. Comparison with the former two subtasks reveals that the latter remains unresolved. Confronted with the interrelated marine environmental parameters, we propose a Tree-based Approach for eXploring Marine Spatial Patterns with multiple raster datasets called TAXMarSP, which includes two models. One is the Tree-based Cascading Organization Model (TCOM), and the other is the Spatial Neighborhood-based CAlculation Model (SNCAM). TCOM designs the "Spatial node -> Pattern node" from top to bottom layers to store the table-formatted frequent patterns. Together with TCOM, SNCAM considers the spatial neighborhood contributions to calculate the pattern-matching degree between the specified marine parameters and the table-formatted frequent patterns and then explores the marine spatial patterns. Using the prevalent quantification Apriori algorithm and a real remote sensing dataset from January 1998 to December 2014, a successful application of TAXMarSP to marine spatial patterns in the Pacific Ocean is described, and the obtained marine spatial patterns present not only the well-known but also new patterns to Earth scientists. |
| WOS关键词 | SPATIOTEMPORAL ASSOCIATION PATTERNS ; TIME-SERIES ; MINING APPROACH ; ENSO ; FRAMEWORK ; SYSTEM ; SCIENCE ; CLIMATE ; IMAGES ; RULES |
| 资助项目 | National Natural Science Foundation of China[41671401] ; National Natural Science Foundation of China[41371385] ; Youth Innovation Promotion Association of Chinese Academy of Science[2013113] ; National key research and development program of China[2016YFA0600304] |
| WOS研究方向 | Science & Technology - Other Topics |
| 语种 | 英语 |
| WOS记录号 | WOS:000401485500030 |
| 出版者 | PUBLIC LIBRARY SCIENCE |
| 资助机构 | National Natural Science Foundation of China ; Youth Innovation Promotion Association of Chinese Academy of Science ; National key research and development program of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/64514]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Xue, Cunjin |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China 2.Chinese Acad Sci, Key Lab Digital Earth Sci, Inst Remote Sensing & Digital Earth, Beijing, Peoples R China 3.Key Lab Earth Observat, Sanya, Hainan, Peoples R China |
| 推荐引用方式 GB/T 7714 | Liao, Xiaohan,Xue, Cunjin,Su, Fenzhen. Tree-based approach for exploring marine spatial patterns with raster datasets[J]. PLOS ONE,2017,12(5):19. |
| APA | Liao, Xiaohan,Xue, Cunjin,&Su, Fenzhen.(2017).Tree-based approach for exploring marine spatial patterns with raster datasets.PLOS ONE,12(5),19. |
| MLA | Liao, Xiaohan,et al."Tree-based approach for exploring marine spatial patterns with raster datasets".PLOS ONE 12.5(2017):19. |
入库方式： OAI收割
来源：地理科学与资源研究所
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