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科研机构

上海大学 [2]

大连理工大学 [1]

遥感与数字地球研究所 [1]

武汉大学 [1]

河南大学 [1]

上海财经大学 [1]

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会议论文 [7]

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内容类型：会议论文

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	Comparative analysis of intra-city spatial economic relationships in Shanghai and Beijing 会议论文 International Conference on Advanced Materials and Energy Sustainability (AMES), 2017-01-01 作者: Lv, Kang-Juan[1]; Cheng, Yu[2]; Yu, An-Yu[3] 收藏 \| 浏览/下载：3/0 \| 提交时间：2019/04/26 Exploratory Spatial Data Analysis (ESDA) spatial economic correlation Shanghai Beijing Moran's I
	Land transformations in Hanyang city of Wuhan in Central China 2001-2011 会议论文作者: Li, Yan 收藏 \| 浏览/下载：3/0 \| 提交时间：2019/08/22 Land transformation Exploratory Spatial Data Analysis Hanyang China
	Spatial Econometric Analysis on Industrial Structure and Environmental Pollution 会议论文 INTERNATIONAL CONFERENCE ON FRONTIERS OF ENERGY, ENVIRONMENTAL MATERIALS AND CIVIL ENGINEERING (FEEMCE 2013) 作者: Lv, Kangjuan[1]; Lin, Yicai[2]; Kang, Jiawen[3] 收藏 \| 浏览/下载：2/0 \| 提交时间：2019/04/30 Economic Structure Environmental Pollution exploratory spatial data analysis (ESDA) Spatial econometric model
	Spatial differentiation of urban carbon emissions - An exploratory spatial data analysis in Beijing 会议论文 2013 21st International Conference on Geoinformatics, Geoinformatics 2013, 2013-06-20 作者: Zhang, Lijun[1]; Qin, Yaochen[2]; Zhang, Jinping[3]; Lu, Chaojun[4] 收藏 \| 浏览/下载：3/0 \| 提交时间：2019/12/23
	Spatial Intelligence with Spatial Statistics 会议论文作者: Zhang, Xu; Bao, Shuming; Zhu, Xinyan; Su, Kehua 收藏 \| 浏览/下载：1/0 \| 提交时间：2019/12/05 Web 2.0 Web GIS Spatial Statistics Exploratory Spatial Data Analysis Spatial Intelligence
	A novel spatial clustering algorithm based on Delaunay triangulation 会议论文 International Conference on Earth Observation Data Processing and Analysis, ICEODPA,, Wuhan, China, December 28, 2008 - December 30,2008 Yang, Xiankun; Cui, Weihong 收藏 \| 浏览/下载：16/0 \| 提交时间：2014/12/07 Exploratory data analysis is increasingly more necessary as larger spatial data is managed in electro-magnetic media. Spatial clustering is one of the very important spatial data mining techniques. So far a lot of spatial clustering algorithms have been proposed. In this paper we propose a robust spatial clustering algorithm named SCABDT (Spatial Clustering Algorithm Based on Delaunay Triangulation). SCABDT demonstrates important advantages over the previous works. First it discovers even arbitrary shape of cluster distribution. Second in order to execute SCABDT we do not need to know any priori nature of distribution. Third like DBSCAN Experiments show that SCABDT does not require so much CPU processing time. Finally it handles efficiently outliers. 2008 SPIE.
	Analysis on the spatial distribution and evolution of FDI in mainland China 会议论文 14th International Conference on Management Science and Engineering, Harbin, PEOPLES R CHINA, 2007-01-01 作者: Wang Xian-wen; Jiang Zhao-hua 收藏 \| 浏览/下载：6/0 \| 提交时间：2019/12/27 exploratory spatial data analysis FDI GIS spatial error model

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