Delineation of support domain of feature in the presence of noise

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	Delineation of support domain of feature in the presence of noise
	Pei Tao; Qin Chengzhi; Li Baolin
	2007
关键词	Algorithms Cluster analysis Computer simulation Data mining Seismic prospecting
英文摘要	Clustered events are usually deemed as feature when several spatial point processes are overlaid in a region. They can be perceived either as a precursor that may induce a major event to come or as offspring triggered by a major event. Hence, the detection of clustered events from point processes may help to predict a forthcoming major event or to study the process caused by a major event. Nevertheless, the locations of existing clustered events alone are not sufficient to identify the area susceptible to a potential major future event or to predict the potential locations of similar future events, so it is desirable to know the shape and the size of the region (the "territory" of feature events) that the feature process occupies. In this paper, the support domain of feature (SDF), the region over which any feature event has the equivalent likelihood to occur, is employed to approximate the "territory" of feature events. A method is developed to delineate the SDF from a region containing spatial point processes. The method consists of three major steps. The first is to construct a discrimination function for separating feature points from noise points. The second is to divide the entire area into a regular mesh of points and then compute a fuzzy membership value for each grid point belonging to the SDF. The final step is to trace the boundary of the SDF. The algorithm was applied to two seismic cases for evaluation, one is the Lingwu earthquake and the other is the Longling earthquakes. Results show that the main earthquakes in both areas as well as most aftershocks triggered by them fell into the estimated SDFs. The case study of Longling shows that the algorithm can deal with a region containing more than two processes. © 2007 Elsevier Ltd. All rights reserved.
出处	Computers and Geosciences
卷	33 期:7 页:952-965
收录类别	EI
语种	英语
内容类型	EI期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/24670]
专题	地理科学与资源研究所_历年回溯文献
推荐引用方式 GB/T 7714	Pei Tao,Qin Chengzhi,Li Baolin. Delineation of support domain of feature in the presence of noise. 2007.