【摘要】：大數(shù)據(jù)發(fā)展應(yīng)用已成為當(dāng)前社會(huì)和學(xué)術(shù)界的研究熱點(diǎn)。本文基于地質(zhì)工作實(shí)際情況,從地質(zhì)數(shù)據(jù)的采集、匯聚、處理、成果綜合等環(huán)節(jié),系統(tǒng)分析了地質(zhì)數(shù)據(jù)的形成過(guò)程及其數(shù)據(jù)特性,認(rèn)為地質(zhì)工作是一個(gè)大數(shù)據(jù)的完整生態(tài)過(guò)程,其形成的數(shù)據(jù)具有多元(源)、多模態(tài)、異構(gòu)、高度時(shí)空性、大容量高相關(guān)、低價(jià)值密度、復(fù)雜性與不確定性等特點(diǎn),既具有大數(shù)據(jù)的共有特性,又有其自身特點(diǎn),是大數(shù)據(jù)的重要組成部分,并以此提出了目前地質(zhì)大數(shù)據(jù)發(fā)展應(yīng)用中的主要技術(shù)問(wèn)題。
[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.
【作者單位】： 中國(guó)地質(zhì)調(diào)查局發(fā)展研究中心;國(guó)土資源部地質(zhì)信息技術(shù)重點(diǎn)實(shí)驗(yàn)室;
【基金】：國(guó)土資源部公益性行業(yè)科研專項(xiàng)項(xiàng)目資助(編號(hào):201511079)
【分類號(hào)】：P628;TP311.13
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本文編號(hào)：2191239