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题名: Research on the Spatial Distribution Pattern of Rural Settlements in Loess Hilly Area
作者: Guo, XD; Zhang, QY; Ma, LB; Yang, SS
收录类别: CPCI-S
出版日期: 2014
会议名称: International Conference on GIS and Resource Management (ICGRM)
会议日期: JAN 03-05, 2014
会议地点: Guangzhou, PEOPLES R CHINA
英文摘要: Based on the remote sensing images of SPOT5 in 2008, with the method of combining density map, hot-spot identification, data detection with spatial statistics, this paper in-depth analyzed the density characteristics and spatial distribution pattern of rural settlements in Tongwei County in 2008. By using hot-spot identification of Nearest Neighbor Hierarchical Clustering method, we can draw that rural settlements in Tongwei County represent the characteristic of random-aggregate distribution. Although the patch density of rural settlements has a certain correlation with altitude and population distribution, there also exists abnormal phenomenon, and the paper gives several reasons to explain it. Based on the analysis of semi-variation function, Voronoi map and nearest neighbor distance, it also draws that rural settlements in Tongwei County represent the characteristic of aggregate-random distribution.
关键词: rural settlements ; spatial pattern ; Loess Hilly Area ; Tongwei County
作者部门: [Guo, Xiaodong ; Zhang, Qiyuan ; Yang, Shisi] Lanzhou Univ, Sch Management, Lanzhou 730000, Gansu, Peoples R China
通讯作者: Guo, XD (reprint author), Lanzhou Univ, Sch Management, Lanzhou 730000, Gansu, Peoples R China.
学科分类: Physical Geography; Remote Sensing
会议录: 2014 INTERNATIONAL CONFERENCE ON GIS AND RESOURCE MANAGEMENT (ICGRM)
页码: 200-213
出版者: DESTECH PUBLICATIONS, INC
出版地: LANCASTER
语种: 英语
WOS记录号: WOS:000337469200027
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内容类型: 会议论文
URI标识: http://ir.lzu.edu.cn/handle/262010/113129
Appears in Collections:管理学院_工商管理&公共管理&信息管理_会议论文

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Recommended Citation:
Guo, XD,Zhang, QY,Ma, LB,et al. Research on the Spatial Distribution Pattern of Rural Settlements in Loess Hilly Area[C]. 见:International Conference on GIS and Resource Management (ICGRM). Guangzhou, PEOPLES R CHINA. JAN 03-05, 2014.
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