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	Three dimensional probability modeling using indicator kriging method
	Jin, Yi ; Pan, Mao ; Song, Huibo ; Hu, Bin ; Xiao, Chunyan
	2008
关键词	indicator kriging semivariogram spatial autocorrelation three dimensional probability modeling voxelization
英文摘要	In many applications, surprising high values designated as outliers are always faced, such as mineral exploration applications and probabilistic analysis of collapsing soil and so on. To assess the spatial distribution probability of some kind of mineral products or something else which exceeds a threshold or not, indicator kriging method is a good choice. But, two questions must be solved before the assessment. One is to determine the threshold (also as indicator) with reason to separate the outliers from the rest; the other is to keep the samples' original spatial autocorrelation, which is the basic of the quality and reliability of the assessing result. To solve the problems above,, this paper focuses on the later one. In order to reconstruct the spatial autocorrelation of the samples originally, a true three-dimensional data model is given using voxelization theory, which is more correctly representing the true spatial distribution of the samples compared to two-dimensional data model. Based on a given indicator (or threshold) and the true three-dimensional data model, indicator kriging method was chosen to predict the spatial distribution probability of unsampled locations which exceed or not exceed the indicator and the three dimensional probability model was constructed.; http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000257018300198&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701 ; Computer Science, Information Systems; Computer Science, Interdisciplinary Applications; Environmental Sciences; Geography, Physical; Telecommunications; CPCI-S(ISTP); 0
语种	英语
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/312062]
专题	地球与空间科学学院
推荐引用方式 GB/T 7714	Jin, Yi,Pan, Mao,Song, Huibo,et al. Three dimensional probability modeling using indicator kriging method. 2008-01-01.

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