IGSNRR OpenIR
Tree-based approach for exploring marine spatial patterns with raster datasets
Liao, Xiaohan1; Xue, Cunjin2,3; Su, Fenzhen1
2017-05-16
Source PublicationPLOS ONE
ISSN1932-6203
Volume12Issue:5Pages:19
Corresponding AuthorXue, Cunjin(xuecj@radi.ac.cn)
AbstractFrom 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.
DOI10.1371/journal.pone.0177438
WOS KeywordSPATIOTEMPORAL ASSOCIATION PATTERNS ; TIME-SERIES ; MINING APPROACH ; ENSO ; FRAMEWORK ; SYSTEM ; SCIENCE ; CLIMATE ; IMAGES ; RULES
Indexed BySCI
Language英语
Funding ProjectNational 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]
Funding OrganizationNational Natural Science Foundation of China ; Youth Innovation Promotion Association of Chinese Academy of Science ; National key research and development program of China
WOS Research AreaScience & Technology - Other Topics
WOS SubjectMultidisciplinary Sciences
WOS IDWOS:000401485500030
PublisherPUBLIC LIBRARY SCIENCE
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/64515
Collection中国科学院地理科学与资源研究所
Corresponding AuthorXue, Cunjin
Affiliation1.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
Recommended Citation
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.
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