基于多源异构数据的城市“三生空间”功能识别  

Function Identification of Urban“Living Production Ecology Space”Based on Multi-source Heterogeneous Data

作　　者：张浩然 陈国平[1,2,3] 赵俊三 ZHANG Hao-ran;CHEN Guo-ping;ZHAO Jun-san(Faculty of Land Resources Engineering,Kunming University of Science and Technology,Kunming 650031,China;Key Laboratory of Geospatial Information Integration Innovation for Smart Mines,Kunming University of Science and Technology,Kunming 650093,China;Spatial Information Integration Technology of Natural Resources in Universities of Yunnan Province,Kunming 650211,China)

机构地区：[1]昆明理工大学国土资源工程学院,昆明650031 [2]昆明理工大学智慧矿山地理空间信息集成创新重点实验室,昆明650093 [3]云南省高校自然资源空间信息集成与应用科技创新团队,昆明650211

出　　处：《科学技术与工程》2024年第27期11529-11536,共8页Science Technology and Engineering

基　　金：国家自然科学基金(42301304);云南省基础研究计划(202201AU070112)。

摘　　要：为协调生活、生产和生态空间的用地矛盾,解决数据驱动法在识别城市“三生空间”方面存在的判别不准确和数据覆盖范围不够等问题,提出了一种能够精准识别“三生空间”功能的方法。基于数据驱动法,结合POI(point of interest)、AOI(area of interest)和遥感等多源异构数据的多特征信息,分析在功能评价体系和分类模型中将不同数据源作为特征因子时的识别精度与尺度效应。以高原城市昆明市五华区建成范围为实验对象,研究结果表明:基于多源地理数据的识别准确率达到92%和94%。多源数据的多特征信息能够明显提升城市功能区的识别精度,为城市功能区精准识别提供了新的方法,能够在更小的尺度上为国土空间规划提供数据与方法支撑。In order to coordinate the land use contradiction between living,production and ecological space,and solve the problems such as inaccurate discrimination and insufficient data coverage in the identification of urban“living production ecology space”by datadriven method,a method that can accurately identify the function of“living production ecology space”was provided.Based on the data-driven method,combining the multi-feature information of multi-source heterogeneous data such as POI(point of interest),AOI(area of interest)and remote sensing,the recognition accuracy and scale effect of different data sources were analyzed when they were used as feature factors in functional evaluation system and classification model.Taking Wuhua District of Kunming as the experimental object,the research results show that the recognition accuracy based on multi-source geographic data reaches 92%and 94%.The multifeature information of multi-source data can significantly improve the identification accuracy of urban functional areas,provide a new method for accurate identification of urban functional areas,and provide data and method support for territorial spatial planning on a smaller scale.

关 键 词：土地利用 三生空间功能识别 多源地理大数据 数据驱动法 评价体系 机器学习 

分 类 号：P272[天文地球—测绘科学与技术] P208[建筑科学—城市规划与设计] TU984