地质数据的大数据特性研究
发布时间：2018-08-19 09:24
【摘要】：大数据发展应用已成为当前社会和学术界的研究热点。本文基于地质工作实际情况,从地质数据的采集、汇聚、处理、成果综合等环节,系统分析了地质数据的形成过程及其数据特性,认为地质工作是一个大数据的完整生态过程,其形成的数据具有多元(源)、多模态、异构、高度时空性、大容量高相关、低价值密度、复杂性与不确定性等特点,既具有大数据的共有特性,又有其自身特点,是大数据的重要组成部分,并以此提出了目前地质大数据发展应用中的主要技术问题。
[Abstract]:The development and application of big data has become a hot spot in current society and academia. Based on the actual situation of geological work, this paper systematically analyzes the forming process and data characteristics of geological data from the aspects of collecting, gathering, processing and synthesizing geological data. It is considered that geological work is a complete ecological process of big data. The resulting data have the characteristics of multivariate (source), multi-mode, heterogeneity, high space-time, large capacity and high correlation, low value density, complexity and uncertainty, etc., which have both the common characteristics of big data and its own characteristics. It is an important part of big data, and puts forward the main technical problems in the development and application of geological big data.
【作者单位】： 中国地质调查局发展研究中心;国土资源部地质信息技术重点实验室;
【基金】：国土资源部公益性行业科研专项项目资助(编号:201511079)
【分类号】：P628;TP311.13
，
本文编号：2191239
[Abstract]:The development and application of big data has become a hot spot in current society and academia. Based on the actual situation of geological work, this paper systematically analyzes the forming process and data characteristics of geological data from the aspects of collecting, gathering, processing and synthesizing geological data. It is considered that geological work is a complete ecological process of big data. The resulting data have the characteristics of multivariate (source), multi-mode, heterogeneity, high space-time, large capacity and high correlation, low value density, complexity and uncertainty, etc., which have both the common characteristics of big data and its own characteristics. It is an important part of big data, and puts forward the main technical problems in the development and application of geological big data.
【作者单位】： 中国地质调查局发展研究中心;国土资源部地质信息技术重点实验室;
【基金】：国土资源部公益性行业科研专项项目资助(编号:201511079)
【分类号】：P628;TP311.13
，
本文编号：2191239
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