不动产房资源测绘空间数据整合技术研究  

Research on Spatial Data Integration Technology of Real Estate Housing Resource Surveying and Mapping

作　　者：贾峻 JIA Jun(Ningbo Alatu Digital Technology Co.,Ltd.,Ningbo 315042,China)

机构地区：[1]宁波市阿拉图数字科技有限公司,浙江宁波315042

出　　处：《测绘与空间地理信息》2025年第2期160-162,共3页Geomatics & Spatial Information Technology

摘　　要：传统不动产房资源测绘空间数据整合技术主要采用人力实际调查的方式,使得测绘空间数据不精准且数据储存格式的不统一,增加了我国对国土资源管理的难度。引用计算机技术与机器学习,对不动产房资源测绘空间数据进行采集,再采用人力调度方法确定数据资源采集的准确性,以语义映射为基础,对数据属性以及格式深度分析,建立针对不同属性特征的处理函数,最后通过存量数据的整合验证与实际案例的整合技术应用,得到结论:研究技术在不动产房资源测绘空间数据整合方面具有较高的可拓展性与灵活性。Traditional real estate resource surveying and mapping spatial data integration technology mainly uses the method of human actual survey,which makes the surveying spatial data inaccurate and the data storage format is not uniform,which increases the difficulty of China’s land and resources management;the computer technology and machine learning is used to collect real estate housing resource surveying and mapping spatial data,and then human scheduling methods are used to determine the accuracy of data resource collection.Based on semantic mapping,the data attributes and formats are deeply analyzed and processing functions for different attributes are established.Finally,through the integration and verification of stock data and the application of the integration technology with actual cases,the obtained research technology has high scalability and flexibility in the integration of real estate housing resource surveying and mapping spatial data.

关 键 词：不动产房资源 数据整合 语义映射 技术研究 数据结构 

分 类 号：P208[天文地球—地图制图学与地理信息工程]