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Mining the association rules between port shoreline and land utilization intensity: a case study in the coastal zone of Kuala Lumpur, Malaysia

文献类型：期刊论文

作者Yan, Jinfeng2; Xiao, Ruiming2; Su, Fenzhen1; Wang, Tian2; Bai, Jinbiao2; Jia, Feixue2; Du, Jiaxue2; Zhao, Shiyi2
刊名GEOCARTO INTERNATIONAL
出版日期2020-10-29
页码18
关键词Association rules data mining port shoreline land utilization intensity Kuala Lumpur
ISSN号1010-6049
DOI10.1080/10106049.2020.1837260
通讯作者Yan, Jinfeng(yanjf2004@163.com)
英文摘要In this study, the spatial pattern of land use refers to the sequence of land use intensity (LUI) in the sea-land direction. To explore the correlation between the port shoreline and the order of land use intensity in the vertical direction from the port shoreline, spatial relationships were introduced into association rule mining models to establish spatial association models that reflected the relationship between the spatial pattern and allocation of land use along the sea-land gradient in the coastal zone. First, the area was divided into grids, and the value of each grid unit was quantified as the land use change rates in 1990-2000, 2000-2010 and 2010-2018. Second, a decision table that reflected the association between port shoreline growth and LUI sequence and a decision table that reflected the association between land use transfer (LUT) and LUI sequence were established in the sea-land direction. Finally, the apriori algorithm was used to set the support and confidence, and the decision tables were subjected to training and testing in MATLAB. This study constructed association rule mining models that expressed spatial relationships and discovered the impact of the growth of shipping on the spatial pattern of land use.
WOS关键词DYNAMICS
资助项目Chinese Academy of Sciences Strategic Leading Special A Earth Big Data Science Project[XDA19060300] ; Major Projects of the National Natural Science Foundation of China[41890854]
WOS研究方向Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
语种英语
WOS记录号WOS:000582908900001
出版者TAYLOR & FRANCIS LTD
资助机构Chinese Academy of Sciences Strategic Leading Special A Earth Big Data Science Project ; Major Projects of the National Natural Science Foundation of China
源URL[http://ir.igsnrr.ac.cn/handle/311030/156765]  
专题中国科学院地理科学与资源研究所
通讯作者Yan, Jinfeng
作者单位1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China
2.Shandong Univ Sci & Technol, Coll Geodesy & Geomat, Qingdao, Peoples R China
推荐引用方式
GB/T 7714		 Yan, Jinfeng,Xiao, Ruiming,Su, Fenzhen,et al. Mining the association rules between port shoreline and land utilization intensity: a case study in the coastal zone of Kuala Lumpur, Malaysia[J]. GEOCARTO INTERNATIONAL,2020:18.
APA Yan, Jinfeng.,Xiao, Ruiming.,Su, Fenzhen.,Wang, Tian.,Bai, Jinbiao.,...&Zhao, Shiyi.(2020).Mining the association rules between port shoreline and land utilization intensity: a case study in the coastal zone of Kuala Lumpur, Malaysia.GEOCARTO INTERNATIONAL,18.
MLA Yan, Jinfeng,et al."Mining the association rules between port shoreline and land utilization intensity: a case study in the coastal zone of Kuala Lumpur, Malaysia".GEOCARTO INTERNATIONAL (2020):18.

入库方式： OAI收割

来源：地理科学与资源研究所

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