摘要
针对当前地理时空信息数据量大、利用率低的问题,基于地理数据关联的内涵,分析了现有地理空间数据关联组织模型,对多源地理空间数据关联方法的发展和研究现状进行梳理,明确地理数据关联算法的技术主线和重点内容,并在此基础上提出了下一步地理数据关联的研究方向.
In view of the problems of large amount of current geographical spatial-temporal information data and lower utilization rate of the data,and based on the connotation of geographic data association,the existing geographical spatial data association organization models are analyzed,the development and research status of multi-source geographic spatial data association methods are sorted out.The main line of technology and main content of the algorithms for geographic data association are determined,and based on this,the next research directions of geographic data association are presented.
作者
刘朋飞
崔铁军
LIU Pengfei;CUI Tiejun(School of Geographic and Environmental Sciences,Tianjin Normal University,Tianjin 300387,China;Tianjin Geospatial Information Engineering Technology Research Center,Tianjin Normal University,Tianjin 300387,China)
出处
《天津师范大学学报(自然科学版)》
CAS
北大核心
2019年第3期10-15,共6页
Journal of Tianjin Normal University:Natural Science Edition
基金
国家自然科学基金资助项目(41471314)
天津市科技支撑计划重点资助项目(15ZCZDSF00390)
关键词
多源地理数据
地理数据关联
语义关联
地理数据挖掘
multi-source geographic data
geographic data association
semantic association
geographic data mining