Application of geographically weighted regression to identify spatially non-stationary relationships between Fe mineralization and its controlling factors in eastern Tianshan, China

doi:10.1016/j.oregeorev.2013.08.005

CORC > 中国地质调查局 > 中国地质调查局 > 中国地质科学院矿产资源研究所

	Application of geographically weighted regression to identify spatially non-stationary relationships between Fe mineralization and its controlling factors in eastern Tianshan, China
	Zhao, Jie 1; Wang, Wenlei 1; Cheng, Qiuming 1,2
刊名	ORE GEOLOGY REVIEWS
	2014
卷号	57 页码:628-638
关键词	Marine volcanic-sedimentary mineralization Geochemical signature Geo-information Local regression Fe deposit
ISSN号	0169-1368
DOI	10.1016/j.oregeorev.2013.08.005
英文摘要	Marine volcanic-sedimentary Fe mineral deposit is one of the most productive mineralization types in eastern Tianshan mineral district, Uyghur Autonomous Region, China. Previous researches have revealed that Fe deposits in this area are mainly hosted by the Lower Carboniferous Yamansu bimodal volcanic rocks and characterized by extensive skarn alteration. Due to variable effects of controlling factors across the study area, Fe mineralization occurs at limited locations with favorable geological environment. In order to understand ore genesis of different Fe deposits and to assist in Fe mineral exploration in this area, it is essential to investigate the spatial relationships between Fe mineralization and its controlling factors across the study area In this paper, Fe mineralization and its controlling factors are characterized and delineated on the basis of spatial distributions of geochemical signatures obtained by principal component analysis. The spatially non-stationary relationships between these spatial distributions of geochemical signatures are further analyzed by a geographically weighted regression (GWR) method. The comparison of applications of the ordinary regression and GWR shows that GWR is superior in depicting localized spatial relationships between Fe mineralization and its controlling factors. The GWR results demonstrate that influences of controlling factors on Fe mineralization are spatially varied and imply that geological environments favorable to Fe mineralization are diverse at different locations. Based on currently achieved results, suggestions to support future Fe mineral exploration at different subareas are proposed at the end of this paper. (C) 2013 Elsevier B.V. All rights reserved.
学科主题	矿床地质
WOS关键词	SOUTHEASTERN YUNNAN DISTRICT ; NON-STATIONARITY ; NORTHWEST CHINA ; ORE-DEPOSITS ; NW CHINA ; INTRUSIONS ; MAGMATISM ; ANOMALIES ; EVOLUTION ; SHAN
WOS研究方向	Geology ; Mineralogy ; Mining & Mineral Processing
语种	英语
出版者	ELSEVIER SCIENCE BV
WOS记录号	WOS:000328869100038
内容类型	期刊论文
源URL	[http://119.78.100.197/handle/2HKVOGP0/40406]
专题	中国地质科学院矿产资源研究所
作者单位	1.Chinese Acad Geol Sci, Inst Mineral Resources, MLR Key Lab Metallogeny & Mineral Assessment, Beijing 100037, Peoples R China 2.York Univ, Dept Geog, Dept Earth & Space Sci & Engn, Toronto, ON M3J 1P3, Canada 3.China Univ Geosci, State Key Lab Geol Proc & Mineral Resources, Wuhan 430074, Peoples R China
推荐引用方式 GB/T 7714	Zhao, Jie,Wang, Wenlei,Cheng, Qiuming. Application of geographically weighted regression to identify spatially non-stationary relationships between Fe mineralization and its controlling factors in eastern Tianshan, China[J]. ORE GEOLOGY REVIEWS,2014,57:628-638.
APA	Zhao, Jie,Wang, Wenlei,&Cheng, Qiuming.(2014).Application of geographically weighted regression to identify spatially non-stationary relationships between Fe mineralization and its controlling factors in eastern Tianshan, China.ORE GEOLOGY REVIEWS,57,628-638.
MLA	Zhao, Jie,et al."Application of geographically weighted regression to identify spatially non-stationary relationships between Fe mineralization and its controlling factors in eastern Tianshan, China".ORE GEOLOGY REVIEWS 57(2014):628-638.