摘要
为提升城市国土空间地类信息细化工作效率,将POI数据、国土变更调查数据与行业专题资料相结合,利用分类映射、数据匹配、空间叠置等关键技术,研究形成了一套POI辅助下的城市国土空间地类信息细化技术流程。通过搭建FME模板,实现了城镇住宅、医疗机构、学校等各细化地类的快速自动定位与信息细化补充,在一定程度上减少了人工工作量,提升了工作效率。以徐州市为例,统计了POI对于不同细化地类的利用率。结果表明,分类映射提取后的POI专题数据整体利用率较好;但由于不同数据标准的差异性,对于部分细化类型,POI数据需进一步结合其他数据来提升其可用性。
In order to improve the efficiency of urban territorial spatial land classification information refinement,combining POI data,territorial change survey data with thematic data,we used the key technologies such as classification mapping,data matching and spatial overlay to form set of technical process.By building a set of automated processing templates based on FME,we realized the rapid automatic positioning and information refining and supplementing of various refinement land classifications such as urban residences,medical institutions and schools,which could reduce manual workload and improves work efficiency.Taking Xuzhou City as the test area,we statistically analyzed the utilization rate of POI for different detailed land types,and analyzed the results.The results show that the overall utilization rate of POI thematic data extracted by classification mapping is good.However,due to the differences in different data standards,for some refinement classifications,POI data needs to be further combined with other data to improve data availability.
作者
宋法奇
杨玲玲
SONG Faqi;YANG Lingling(Provincial Research Institute of Surveying and Mapping,Nanjing 210013,China;Jiangsu Chengtai Surveying and Mapping Technology Company,Taizhou 225300,China)
出处
《地理空间信息》
2024年第7期84-87,118,共5页
Geospatial Information
基金
江苏省测绘研究所自主科研资助项目(BM2018030)
江苏省基础测绘资助项目(JSYJ20180057)。
关键词
POI
城市国土空间监测
数据匹配
地类信息
POI
urban territorial spatial monitoring
data matching
land classification information
作者简介
第一作者:宋法奇(1986-),硕士,主要从事智慧城市时空大数据平台建设与应用、地理智能与可视化方面的工作,E-mail:zdq_hhf@qq.com。
