首页> 外文期刊>Journal of Geochemical Exploration: Journal of the Association of Exploration Geochemists >Investigation of spatially non-stationary influences of tectono-magmatic processes on Fe mineralization in eastern Tianshan, China with geographically weighted regression
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Investigation of spatially non-stationary influences of tectono-magmatic processes on Fe mineralization in eastern Tianshan, China with geographically weighted regression

机译:地理加权回归研究构造-岩浆过程的空间非平稳性对中国天山东部铁矿化的影响

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摘要

The volcanic-sedimentary Fe mineralization in eastern Tianshan mineral district is controlled by a series of tectono-magmatic processes. Controlling effects of related geo-processes on Fe mineralization are varied across the space; relationships among these geo-processes are consequently spatially non-stationary. Before investigating the relationships, this paper jointly utilizes the singularity index mapping technique and principal component analysis to recognize Fe mineralization associated felsic intrusions, fault systems and the Yamansu Formation. After that, both ordinary least square and geographically weighted regression models are used to inspect the relationships that existed between Fe mineralization and these identified controlling factors. Results by geographically weighted regression quantitatively depict non-stationary influences of tectono-magmatic processes on Fe accumulation in spatial scenario, which demonstrate well the significant improvement in parameter estimation in comparison with ordinary least square regression. Examining regression coefficients, it can be inferred that Fe mineralization at different locations in eastern Tianshan mineral district was caused by interactivities of multiple geo-processes to different degrees, and these variations can be demonstrated by the results as well. Experiences derived from current study can be a useful reference to future regression analysis on geological issues.
机译:天山东部矿区火山沉积的铁矿化受一系列构造-岩浆作用过程控制。在整个空间中,相关的地质过程对铁矿化的控制效果是不同的。这些地理过程之间的关系因此在空间上是不稳定的。在研究这些关系之前,本文共同利用奇异指数映射技术和主成分分析来识别铁矿化相关的长英质侵入体,断层系统和Yamansu组。此后,使用普通最小二乘和地理加权回归模型来检查铁矿化与这些确定的控制因素之间存在的关系。地理加权回归的结果定量地描述了构造-岩浆过程对空间情景中铁积累的非平稳影响,与普通最小二乘回归相比,它很好地证明了参数估计的显着改进。通过检验回归系数,可以推断出天山东部矿区不同地点的铁矿化是由多个地质过程的相互作用在不同程度上引起的,这些变化也可以通过结果来证明。从当前研究中获得的经验可以为将来对地质问题进行回归分析提供有用的参考。

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