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加权Logistic回归是基于GIS成矿预测的主要方法之一,其模型是不同于线性模型的一种类型。它具有强大的空间分析功能、适用性强、不受任何独立条件的约束、预测结果更可靠,因此在矿产资源评价研究中得到了很多地质学家的青睐。以矿床模型和成矿理论为基础,加权Logistic回归分析模型在成矿预测中的应用主要包括三部分:加权Logistic回归模型的建立及其应用、成矿有利度综合评价、成矿远景区圈定。本文以中国—哈萨克斯坦边境地区扎尔玛—萨吾尔成矿带斑岩型铜矿为例,探讨了基于GIS的加权Logistic回归模型在成矿预测中的应用。
Weighted Logistic regression is one of the main methods based on GIS mineralization prediction. Its model is different from the linear model. It has powerful spatial analysis function, its applicability is strong, it is not constrained by any independent condition, and the prediction result is more reliable. Therefore, it has been favored by many geologists in the research of mineral resources evaluation. Based on the deposit model and metallogenic theory, the application of weighted Logistic regression model in metallogenic prediction mainly includes three parts: the establishment and application of weighted Logistic regression model, the comprehensive evaluation of metallogenic benefit degree and the delineation of metallogenic prospect. In this paper, taking the porphyry Cu deposit in the Zhalma-Uyghur metallogenic belt along the border between China and Kazakhstan as an example, the application of the weighted Logistic regression model based on GIS in metallogenic prediction is discussed.