论文标题
一种鉴定线性样带的地球化学矿化的方法
A method to identify geochemical mineralization on linear transect
论文作者
论文摘要
生物地球化学中的矿物探索与土壤中异常的检测有关，这是由许多因素驱动的，因此是一个复杂的问题。 Mikšová，Rieser和Filzmoser（2019）引入了一种识别沿线性采样样品样品中元素浓度升高的空间模式的方法。该过程基于拟合浓度数据的拟合通用加性模型（GAM），并根据这些拟合的成对对数比率计算曲率度量。曲率越高，两对元素的可能性越大，则表明局部矿化。该方法应用于两个地球化学数据集，这些数据集是为矿物勘探目的而专门收集的。目的是测试该技术是否能够识别探路者元素检测矿化区域，并验证该方法是否可以指示哪种采样材料最适合此目的。 参考：MikšováD。，Rieser C.，Filzmoser P.（2019）。 “基于log-ratios的空间曲率，沿横切的地球化学中的矿化鉴定。” Arxiv，（1912.02867）。
Mineral exploration in biogeochemistry is related to the detection of anomalies in soil, which is driven by many factors and thus a complex problem. Mikšová, Rieser, and Filzmoser (2019) have introduced a method for the identification of spatial patterns with increased element concentrations in samples along a linear sampling transect. This procedure is based on fitting Generalized Additive Models (GAMs) to the concentration data, and computing a curvature measure from the pairwise log-ratios of these fits. The higher the curvature, the more likely one or both elements of the pair indicate local mineralization. This method is applied on two geochemical data sets which have been collected specifically for the purpose of mineral exploration. The aim is to test the technique for its ability to identify pathfinder elements to detect mineralized zones, and to verify whether the method can indicate which sampling material is best suited for this purpose. Reference: Mikšová D., Rieser C., Filzmoser P. (2019). "Identification of mineralization in geochemistry along a transect based on the spatial curvature of log-ratios." arXiv, (1912.02867).
