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DAI Xiao-yan, GUO Zhong-yang, SHI Chun, WU Jian-ping. Application of Spatial Clustering in the Study of Agricultural Non-point Source Pollution(Chinese)[J]. Journal of East China Normal University (Natural Sciences), 2005, (3): 59-64.
Citation:
DAI Xiao-yan, GUO Zhong-yang, SHI Chun, WU Jian-ping. Application of Spatial Clustering in the Study of Agricultural Non-point Source Pollution(Chinese)[J]. Journal of East China Normal University (Natural Sciences), 2005, (3): 59-64.
DAI Xiao-yan, GUO Zhong-yang, SHI Chun, WU Jian-ping. Application of Spatial Clustering in the Study of Agricultural Non-point Source Pollution(Chinese)[J]. Journal of East China Normal University (Natural Sciences), 2005, (3): 59-64.
Citation:
DAI Xiao-yan, GUO Zhong-yang, SHI Chun, WU Jian-ping. Application of Spatial Clustering in the Study of Agricultural Non-point Source Pollution(Chinese)[J]. Journal of East China Normal University (Natural Sciences), 2005, (3): 59-64.
According to the remote sensing image information of Shanghai area, combining with geographic information system (GIS), a method for watershed distribution of agricultural non-point source pollution was set up and applied in Qingpu district. Based on these, K-means algorithm was applied to analyze the pollution conditions of rivers in the study area, consequently, some meaningful results of the spatial distribution features of agricultural non-point source pollution were obtained.
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