机构

• 地理科学与资源研究所 [6]

采集方式

• OAI收割 [6]

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浏览/检索结果: 共6条，第1-6条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Clustering Coastal Land Use Sequence Patterns along the Sea-Land Direction: A Case Study in the Coastal Zone of Bohai Bay and the Yellow River Delta, China 期刊论文  OAI收割 REMOTE SENSING, 2019, 卷号: 11, 期号: 17, 页码: 19 作者:  Ding, Zhi;  Su, Fenzhen;  Zhang, Junjue;  Zhang, Yu;  Luo, Shuchang   |  收藏  |  浏览/下载：39/0  |  提交时间：2020/03/23 PAM  sea-land direction  land use change  sequence pattern  temporal and spatial heterogeneity   Clustering Coastal Land Use Sequence Patterns along the Sea-Land Direction: A Case Study in the Coastal Zone of Bohai Bay and the Yellow River Delta, China 期刊论文  OAI收割 REMOTE SENSING, 2019, 卷号: 11, 期号: 17, 页码: 19 作者:  Ding, Zhi;  Su, Fenzhen;  Zhang, Junjue;  Zhang, Yu;  Luo, Shuchang   |  收藏  |  浏览/下载：19/0  |  提交时间：2020/03/23 PAM  sea-land direction  land use change  sequence pattern  temporal and spatial heterogeneity   Mining Coastal Land Use Sequential Pattern and Its Land Use Associations Based on Association Rule Mining 期刊论文  OAI收割 REMOTE SENSING, 2017, 卷号: 9, 期号: 2, 页码: 18 作者:  Ding, Zhi;  Liao, Xiaohan;  Su, Fenzhen;  Fu, Dongjie   |  收藏  |  浏览/下载：83/0  |  提交时间：2019/09/25 coastal zone  land use  spatial sequence pattern  from the land to the sea  association  rules  the anisotropy   Mining Coastal Land Use Sequential Pattern and Its Land Use Associations Based on Association Rule Mining 期刊论文  OAI收割 REMOTE SENSING, 2017, 卷号: 9, 期号: 2, 页码: 18 作者:  Ding, Zhi;  Liao, Xiaohan;  Su, Fenzhen;  Fu, Dongjie   |  收藏  |  浏览/下载：24/0  |  提交时间：2019/09/25 coastal zone  land use  spatial sequence pattern  from the land to the sea  association  rules  the anisotropy   Mining Coastal Land Use Sequential Pattern and Its Land Use Associations Based on Association Rule Mining 期刊论文  OAI收割 REMOTE SENSING, 2017, 卷号: 9, 期号: 2, 页码: 18 作者:  Ding, Zhi;  Liao, Xiaohan;  Su, Fenzhen;  Fu, Dongjie   |  收藏  |  浏览/下载：22/0  |  提交时间：2019/09/25 coastal zone  land use  spatial sequence pattern  from the land to the sea  association  rules  the anisotropy   Detecting feature from spatial point processes using Collective Nearest Neighbor SCI/SSCI论文  OAI收割 2009 作者:  Pei T. 收藏  |  浏览/下载：27/0  |  提交时间：2012/06/08 Classification entropy  Noise  Point pattern  Feature  Spatial scan  method  Shared nearest neighbor  EM algorithm  clusters  foreshock  algorithm  sequence  model  earthquakes  seismicity  patterns  clutter   首页 上一页 1 下一页 末页