四维数邦精细化建筑物面数据
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本数据为覆盖陕西省重点区域的精细化建筑物面空间数据集,依据最新高分辨率的 DOM 影像和矢量文件,采用计算机图像自动识别和人机交互相结合的方式,进行几何制作、逻辑关系及属性赋值标准,确保数据几何规范、属性完整、现势性强。数据覆盖范围包括西安市主城区(未央区、灞桥区、莲湖区、新城区、碑林区、雁塔区、长安区)以及延安市9个县城、榆林市5个县城,总覆盖面积174平方公里,建筑物面数量达14.46万栋。数据格式为SHP,适配主流GIS软件,包含ID、NAME、KIND、HEIGHT、FLOOR等10个核心属性字段,可满足多维度数据分析需求。本数据具备精细化程度高、区域针对性强、多场景适配等特点,在城市空间规划、智慧社区建设、交通优化、应急响应等领域具有显著应用价值,同时可为商业选址、公共服务配置等提供参考,是支撑区域数字化治理和高质量发展的重要基础数据资产。 掌握精细化建筑轮廓矢量化信息数据,将其作为基础底座数据,结合其他行业专业数据,即可在城市规划、智慧城市建设、决策制定与应急响应等方面的起到重要作用。
This dataset is a fine-grained building footprint spatial dataset covering key regions of Shaanxi Province. It is developed based on the latest high-resolution DOM images and vector files, adopting a workflow combining computer-aided automatic image recognition and human-computer interaction, and following unified standards for geometric production, logical relationship validation and attribute assignment, to ensure the geometric standardization, complete attribute information and strong timeliness of the dataset. The coverage scope includes the main urban area of Xi'an (Weiyang District, Baqiao District, Lianhu District, Xincheng District, Beilin District, Yanta District, Chang'an District), 9 counties under Yan'an City, and 5 counties under Yulin City, with a total coverage area of 174 square kilometers and a total of 144,600 building footprints. The data is stored in SHP format, which is compatible with mainstream GIS software, and contains 10 core attribute fields including ID, NAME, KIND, HEIGHT, FLOOR and others, which can meet the requirements of multi-dimensional data analysis. This dataset has the characteristics of high fine-grained detail, strong regional pertinence and multi-scenario adaptability. It has significant application value in fields such as urban spatial planning, smart community construction, traffic optimization and emergency response. It can also provide references for commercial site selection, public service allocation and other scenarios, and is an important basic data asset supporting regional digital governance and high-quality development. Mastering the fine-grained vectorized building outline information data, and using it as basic underlying data combined with professional data from other industries, can play an important role in urban planning, smart city construction, decision-making and emergency response.




