• Journal of Geo-information Science
  • Vol. 22, Issue 6, 1339 (2020)
Yuanhui CAO1、1, Jiping LIU1、1、2、2、*, Yong WANG1、1, Liangjie WANG3、3, Wenzhou WU4、4, and Fenzhen SU4、4
Author Affiliations
  • 1. 中国测绘科学研究院,北京 100830
  • 1Chinese Academy of Surveying and Mapping, Beijing 100830, China
  • 2. 河南省科学院地理研究所,郑州 450052
  • 2Institute of Geographical Sciences, Henan Academy of Sciences, Zhengzhou 450052, China
  • 3. 清华大学环境学院,北京 100084
  • 3School of Environment, Tsinghua University, Beijing 100084, China
  • 4. 中国科学院地理科学与资源研究所 资源与环境信息系统国家重点实验室,北京 100101
  • 4State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
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    DOI: 10.12082/dqxxkx.2020.190608 Cite this Article
    Yuanhui CAO, Jiping LIU, Yong WANG, Liangjie WANG, Wenzhou WU, Fenzhen SU. A Study on the Method for Functional Classification of Urban Buildings by Using POI Data[J]. Journal of Geo-information Science, 2020, 22(6): 1339 Copy Citation Text show less
    Inverse distance weight function graph
    Fig. 1. Inverse distance weight function graph
    POI, AOI, road and building data of the study area near the South Shawo bridge in Beijing in 2019
    Fig. 2. POI, AOI, road and building data of the study area near the South Shawo bridge in Beijing in 2019
    Category map between POIs and buildings
    Fig. 3. Category map between POIs and buildings
    Spatial distribution of three types of POIs in the study area
    Fig. 4. Spatial distribution of three types of POIs in the study area
    Space units formed by dividing the study area with roads and AOIs
    Fig. 5. Space units formed by dividing the study area with roads and AOIs
    Functional classification results of 5552 buildings in the area near the South Shawo Bridge in Beijing in 2019 and the spatial distribution of three major types of buildings
    Fig. 6. Functional classification results of 5552 buildings in the area near the South Shawo Bridge in Beijing in 2019 and the spatial distribution of three major types of buildings
    Functional classification results of buildings and blocks in the study area using the traditional frequency density ratio method
    Fig. 7. Functional classification results of buildings and blocks in the study area using the traditional frequency density ratio method
    Comparison of building functional classification results of some blocks in the study area with Baidu map
    Fig. 8. Comparison of building functional classification results of some blocks in the study area with Baidu map
    The relationship between POI density and building function recognition rate and classification accuracy
    Fig. 9. The relationship between POI density and building function recognition rate and classification accuracy
    自动分类结果/个人工判读/个
    居住公共商业混合
    居住1283828
    公共4630467
    商业50122529
    混合3736167
    Table 1. Automatic classification error matrix of building functions compared with manual classification results
    Yuanhui CAO, Jiping LIU, Yong WANG, Liangjie WANG, Wenzhou WU, Fenzhen SU. A Study on the Method for Functional Classification of Urban Buildings by Using POI Data[J]. Journal of Geo-information Science, 2020, 22(6): 1339
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