The following publications are possibly variants of this publication:
- A framework for urban land use classification by integrating the spatial context of points of interest and graph convolutional neural network methodYongyang Xu, Bo Zhou, Shuai Jin, Xuejing Xie, Zhanlong Chen, Sheng Hu 0001, Nan He. urban, 95:101807, 2022. [doi]
- Extracting and understanding urban areas of interest using geotagged photosYingjie Hu, Song Gao, Krzysztof Janowicz, Bailang Yu, Wenwen Li, Sathya Prasad. urban, 54:240-254, 2015. [doi]
- Camera planning for area surveillance: A new method for coverage inference and optimization using Location-based Service dataZhigang Han, Songnian Li, Caihui Cui, Hongquan Song, Yunfeng Kong, Fen Qin. urban, 78, 2019. [doi]
- Regional Mapping of Essential Urban Land Use Categories in China: A Segmentation-Based ApproachYing Tu, Bin Chen, Tao Zhang, Bing Xu. remotesensing, 12(7):1058, 2020. [doi]
- Identifying and understanding road-constrained areas of interest (AOIs) through spatiotemporal taxi GPS data: A case study in New York CityYunzhe Liu, Alex Singleton, Daniel Arribas-Bel, Meixu Chen. urban, 86:101592, 2021. [doi]