基于CiteSpace5.5R2的时空大数据挖掘——以中国知网地理信息系统学科文献为例  

Spatial and temporal big data mining based on CiteSpace5.5R2:taking CNKI mapping and geographic information system literatures as an example

作　　者：田静[1,2] 李刚 张澳兵 谭粤 雷盼荣 TIAN Jing;LI Gang;ZHANG Aobing;TAN Yue;LEI Panrong(School of Surveying and Mapping Engineering, Heilongjiang Institute of Technology, Harbin 150050, China;School of Geology Engineering and Geomatics, Chang’an University,Xi’an 710054,China)

机构地区：[1]黑龙江工程学院测绘工程学院,哈尔滨150050 [2]长安大学地质工程与测绘学院,西安710054

出　　处：《测绘工程》2022年第3期46-53,共8页Engineering of Surveying and Mapping

基　　金：黑龙江省省属本科高校基本科研业务费科研项目(2018CX05)。

摘　　要：以中国知网10 a间收录的地理信息系统学科相关文献为研究对象,不同于以往的基于人工设计或传统方法获取数据并可视化分析,采用Python,Excel,MySQL数据库等工具对文献数据进行预处理、存储与管理。文中以时空大数据挖掘方法对样本文献“量化”(数据化)并进行深入推理。采用基于Java环境的CiteSpace5.5R2等软件,通过词云分析、聚类分析、科研合作网络等时空大数据挖掘方法,为地理信息系统的实践发展、热点探索及前沿方向提供参考,提出相关建议和发展趋势的展望。In this paper,the relevant literatures on the topic of geographic information system collected by CNKI in the past ten years are taken as the research object.Different from the previous data acquisition and visual analysis based on manual design or traditional methods,tools such as Python,Excel and MySQL database are used to preprocess,store and manage the literature data.For space-time big data mining methods to sample documents“quantitative”(digital)and thorough reasoning,CiteSpace5.5 R2 software based on Java environment,etc.Through the word cloud analysis,clustering analysis and scientific research cooperation network time big data mining methods,such as,for the practice of the geographic information system development,hot exploration and front direction for reference.Suggestions and prospects of development trend are put forward.

关 键 词：时空大数据 地理信息系统 共现分析 科研合作网络 

分 类 号：P258[天文地球—测绘科学与技术]