早子沟矿区岩石样品地球化学成分数据分析结果（2021年）

数据来源于早子沟野外采集样品，经过实验室测试分析，数据整理，形成数据集。定量矿产预测的主要任务是在成矿动力学背景和成矿规律研究的基础上，对研究区的地质、地球物理数据、地球化学数据、遥感影像、钻探工程数据等进行综合分析，进而构建数学模型对成矿有利信息进行有效的提取和识别，开展定量找矿信息的数据融合，构建定量矿产预测模型，开展不同级别的远景区或三维空间中的找矿靶区的圈定，并结合地、物、化、遥资料进行综合评价

This dataset is compiled from field-collected samples from the Zaozigou area, following laboratory testing and analysis as well as data organization and integration.

The core task of quantitative mineral prospectivity prediction is based on studies of the metallogenic dynamic background and metallogenic regularities. It involves conducting comprehensive analyses of various data from the study area, including geological, geophysical, geochemical, remote sensing imagery, and drilling engineering data. Mathematical models are then constructed to effectively extract and identify metallogenically favorable information, followed by data fusion of quantitative prospecting information. Subsequently, quantitative mineral prospectivity prediction models are established to delineate prospective areas at different levels and prospecting targets in three-dimensional space, and a comprehensive evaluation is carried out by integrating geological, geophysical, geochemical and remote sensing data.