| 面向矿产资源信息的空间关联性分析 |
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| 引用本文： | 常力恒,朱月琴,张戈一,张旋,胡博然.面向矿产资源信息的空间关联性分析[J].岩石学报,2018,34(2):314-318. |
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| 作者姓名： | 常力恒 朱月琴 张戈一 张旋 胡博然 |
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| 作者单位： | 中国地质大学, 武汉 430074;国土资源部地质信息技术重点实验室, 北京 100037,国土资源部地质信息技术重点实验室, 北京 100037;中国地质调查局发展研究中心, 北京 100037,国土资源部地质信息技术重点实验室, 北京 100037;中国矿业大学, 北京 100037,中国地质大学, 武汉 430074,国土资源部地质信息技术重点实验室, 北京 100037;中国地质大学, 北京 100037 |
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| 基金项目： | 本文受国土资源部公益性行业科研专项项目（201511079）和国家重点研发计划（2016YFC0600510）联合资助. |
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| 摘 要： | 关联性分析是综合多源、多类数据,发现和挖掘数据中潜在的相关关系,提取和挖掘数据之间的关联性。该方法对于充分利用地质大数据、发现地质要素之间的共生组合规律具有重要的意义。本文首先基于数据的空间位置,将不同类型的地质空间数据建立联系,形成空间属性数据库;其次应用统计方法,对不同来源数据中的属性特征进行分析,发现热液型金矿的形成与火山作用存在明显相关性;最后基于Apriori算法提取热液型金矿的伴生矿与侵入岩的频繁项集,发现伴生矿与侵入岩酸碱性二者密切相关。因此,在今后的工作中,有望应用空间关联性的方法对地球物理、地球化学、遥感等多源地质数据开展深入的研究分析。
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| 关 键 词： | 地质大数据 关联性分析 统计特征 空间关联规则 |
| 收稿时间： | 2017/8/30 0:00:00 |
| 修稿时间： | 2017/9/20 0:00:00 |
Spatial correlation analysis of mineral resources information |
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| CHANG LiHeng,ZHU YueQin,ZHANG GeYi,ZHANG Xuan and HU BoRan.Spatial correlation analysis of mineral resources information[J].Acta Petrologica Sinica,2018,34(2):314-318. |
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| Authors: | CHANG LiHeng ZHU YueQin ZHANG GeYi ZHANG Xuan and HU BoRan |
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| Institution: | China university of Geoscience, Wuhan 430074, China;Key Laboratory of Geological Information Technology, Ministry of Land and Resources, Beijing 100037, China,Key Laboratory of Geological Information Technology, Ministry of Land and Resources, Beijing 100037, China;Development Research Center, China Geological Survey, Beijing 100037, China,Key Laboratory of Geological Information Technology, Ministry of Land and Resources, Beijing 100037, China;China University of Mining and Technology, Beijing 100037, China,China university of Geoscience, Wuhan 430074, China and Key Laboratory of Geological Information Technology, Ministry of Land and Resources, Beijing 100037, China;China University of Geoscience, Beijing 100037, China |
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| Abstract: | Relevance analysis is used to discover and excavate potential correlations in data, combining with multi-source and multi-class data. The correlation between the extraction and excavation of data is of great significance for the full use of geological data and the discovery of the association and combination of geological elements. In this paper, different types of geological space data are established to form spatial attribute database based on the spatial location of data. Secondly, by using the method of statistical method, we analyze the attribute characteristics from different sources data, and find that the formation of gold ores is obviously controlled by volcanic actions. Finally, based on the Apriori algorithm, we extract the frequent itemsets of associated minerals and intrusive rocks of hydrothermal gold deposits, and find that the associated minerals are closely related to the acid and alkali of intrusive rocks. Therefore, in future, it is expected to use spatial correlation method to carry out in-depth research and analysis on geophysics, geochemistry, remote sensing and other multi-source geological data. |
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| Keywords: | Geological big data Correlation analysis Statistical characteristics Spatial association rules |
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