摘要
本文分析了大数据并行处理、地理计算、数据挖掘分析、空间信息决策、地理信息服务等领域的技术发展和应用需求,通过在多源信息融合的组织机构空间分布格局分析、地理要素统计分析、互联网泛在地理信息挖掘分析等方面的理论探索与实践经验,对面向大数据的空间信息决策支持服务涉及的理论问题、关键技术、发展趋势等方面作了分析与展望。
The technology development and application of big data parallel processing,geo-computation,data mining,spatial decision and geographic information service were analyzed in the paper.Then the exploration and experiences of spatial distribution pattern of organizations based on multi-source data fusion,statistical analysis of geographic elements,data mining of web geographic information were introduced.At last,the theory,the key technology and the development trend of spatial decision support service based on big data were presented.
出处
《测绘科学》
CSCD
北大核心
2014年第5期8-12,17,共6页
Science of Surveying and Mapping
关键词
大数据
空间信息决策
地理信息服务
数据挖掘
big data
spatial decision
geographic information service
data mining
