摘要
针对当前国土空间资源开发不合理、国土空间数据层不完整、整合程度不足的问题,提出应用大数据分析模型,实现国土空间数据的采集、整合管理。采用ETL技术对数据进行抽取、转换和整合,使国土空间数据高效集成和有效共享;建立国土空间规划指标体系,对每个指标的权重进行归一化并检验一致性,使用正向化消除国土空间规划指标中正逆向性的差异。实验结果显示,该研究对生态空间数据分析时间最快为44s,完善了国土空间规划体系的制度。
In response to the current unreasonable development of land and space resources,incomplete land and space data layers,and insufficient integration,this research applies the big data analysis model to realize the collection and integrated management of territorial spatial data.The use of ETL technology for data extraction,conversion and integration enables the efficient integration and effective sharing of territorial spatial data.An index system is established for territorial and spatial planning,which normalizes the weight of each index and check consistency,and use positivity to eliminate the difference between the positive and negative in the territorial and spatial planning indicators.The experiment results show that the fastest analysis time for ecological spatial data in this study is 44s,which has improved the system of territorial spatial planning.
作者
江鹏
JIANG Peng(Anhui Bureau of Geology and Mineral Resources Anqing Surveying and Mapping Technical College,Anqing 246003,Anhui Province,China)
出处
《信息技术》
2022年第6期185-190,共6页
Information Technology
