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作 者:张定祥[1] 李宪文[1] 李荣亚[2] 王荣彬[1] 季宏伟[1] 杜震洪[2] Zhang Dingxiang;Li Xianwen;Li Rongya;Wang Rongbin;Ji Hongwei;Du Zhenhong(China Land Survey and Planning Institute,Ministry of Natural Resources,Beijing 100035;Zhejiang University,Hangzhou,310007)
机构地区:[1]自然资源部中国土地勘测规划院,北京100035 [2]浙江大学,杭州310007
出 处:《国土资源信息化》2018年第6期19-24,共6页Land and Resources Informatization
摘 要:本文根据全国土地基础数据特点,基于Hadoop技术研发了土地时空大数据集成管理系统,并实际应用于全国土地基础数据集成管理和空间大数据处理。研究表明,系统可以实现对全国2880个县区1:1万土地利用空间数据快速处理,该系统能够有效支撑全国范围大比例尺空间大数据分析,可为国土空间规划等提供便捷的空间大数据计算服务。Based on Hadoop technology,this paper develops a land spatial-temporal large data integration management system according to the spatial-temporal characteristics of the national land basic data,and applies it to the national land basic data integration management and spatial large data processing.The system realizes the integrated and unified management of all land thematic databases in the existing national land foundation database,and provides a unified spatial data parallel processing service.The research shows that the system integrates effectively with thematic databases and management systems based on the SOA framework.The parallel processing framework of Hadoop spatial large data has powerful spatial data processing ability,and can realize the rapid processing of 1:10 000 land use spatial data in 2880 counties and districts nationwide.The system can effectively support the whole system.Large-scale spatial data analysis can provide convenient spatial data calculation services for land and space planning.
关 键 词:时空大数据 HADOOP 面向服务的构架 并行处理
分 类 号:F301.2[经济管理—产业经济] TP311.13[自动化与计算机技术—计算机软件与理论]
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