(1. 中南大学 有色金属成矿预测教育部重点实验室，长沙 410083；
2. 中南大学 地球科学与信息物理学院，长沙 410083)
摘 要: 基于GIS技术，对铜陵天马山及其外围约100 km2区域进行数字矿床空间信息找矿预测模型的研究。通过工作区信息统计单元的划分、预测区地质信息(包括构造、地层、岩浆岩、地表矿化以及遥感混合蚀变信息等)变量的确定以及编码和赋值，采用特征分析法确定空间网格单元成矿异常有利度模型，根据预测单元计算结果，结合地质分析，圈定找矿靶区14处。
关键字: 找矿预测；信息统计；特征分析；天马山及其外围地区；铜陵
Tianmashan and its periphery area, Tongling
（1. Key Laboratory of Metallogenic Prediction of Nonferrous Metals, Ministry of Education,
Central South University, Changsha 410083, China;
2. School of Geosciences and Info-Physics, Central South University, Changsha 410083, China）
Abstract:Based on geographic information system (GIS), the model of space information related with ore prediction in Tianmashan and its periphery area, Tongling of 100 km2 was studied. According to the division of information statistics units, the determination of geological information variables which consist of structure, strata, magmatic rocks, mineralization and remote sensing alteration information etc., along with coding and assignment, the method of signature analysis was adopted to ensure the mineralized anomalies favorability model of the space information grid units. Combined with geological analysis, 14 prospecting targets were delineated.
Key words: ore prediction; information statistics; signature analysis; Tianmashan and its periphery area; Tongling
