摘要
针对现有云计算服务框架不适用于GIS复杂空间计算分析的问题,将分布式系统基础架构Hadoop与GIS相结合,实现了GIS地图数据的云储存及分布式并行空间分析计算,提高了用户页面地图漫游体验及地图、属性的复杂组合查询效率。
In view of problem that existing cloud computing services framework was not suitable for GIS complex spatial calculation and analysis, the distributed system infrastructure of Hadoop and GIS were combined to achieve cloud storage of GIS map data analysis and calculation of distributed parallel spatial, which improved user page map roaming experience and query efficiency of complicated combination of map and attributes.
出处
《工矿自动化》
北大核心
2015年第3期54-56,共3页
Journal Of Mine Automation
基金
"十二五"国家科技支撑计划项目(2012BAK04B00)
国家科技重大专项项目(2011ZX05040-005-12)
财政部重大技术创新及产业化项目(2011ZD001)