Yuhao Kang GISer



Working Papers

  1. Chen, S., Li, Q., Gao, S., Kang, Y., & Shi, X. (2020). Mitigating COVID-19 outbreak via high testing capacity and strong transmission-intervention in the United States. medRxiv. [PDF]
  2. Gao, S., Rao, J., Kang, Y., Liang, Y., Kruse, J., Doepfer, D., ... & Yandell, B. S. (2020). Mobile phone location data reveal the effect and geographic variation of social distancing on the spread of the COVID-19 epidemic. arXiv preprint arXiv:2004.11430. [PDF]

Peer-reviewed Journal Articles

  1. Kang, Y., Jia, Q., Gao, S., Zeng, X., Wang, Y., Angsuesser, S., ... & Fei, T. (2019). Extracting human emotions at different places based on facial expressions and spatial clustering analysis. Transactions in GIS23(3), 450-480. [PDF]
  2. Kang, Y., Gao, S., & Roth, R. E. (2019). Transferring multiscale map styles using generative adversarial networks. International Journal of Cartography5(2-3), 115-141. [PDF]
  3. Kang, Y., Wang, Y., Gao, M., Peng, J., Zhang, J., & Fei, T. (2018). Design of electronic map system based on virtual reality technology (基于虚拟现实技术的电子地图系统设计). Journal of Geomatics43(6), 16-18. [PDF]
  4. Kang, Y., Wang, Y., Xia, Z., Chi, J., Jiao, M., & Wei, Z. (2018). Identification and classification of Wuhan urban districts based on POI (利用 POI 数据的武汉城市功能区划分与识别). Journal of Geomatics43(1), 81-85. [PDF]
  5. Gao, S., Rao, J., Kang, Y., Liang, Y., & Kruse, J. (2020). Mapping county-level mobility pattern changes in the United States in response to COVID-19. SIGSPATIAL Special12(1), 16-26. [PDF]
  6. Li, Y., Fei, T., Huang, Y., Li, J., Li, X., Zhang, F., Kang, Y., & Wu, G. (2020). Emotional habitat: mapping the global geographic distribution of human emotion with physical environmental factors using a species distribution model. International Journal of Geographical Information Science, 1-23. [PDF]
  7. Zhang, F., Zu, J., Hu, M., Zhu, D., Kang, Y., Gao, S., ... & Huang, Z. (2020). Uncovering inconspicuous places using social media check-ins and street view images. Computers, Environment and Urban Systems81, 101478. [PDF]
  8. Li, B., Gao, S., Liang, Y., Kang, Y., Prestby, T., Gao, Y., & Xiao, R. (2020). Estimation of regional economic development indicator from transportation network analytics. Scientific Reports10(1), 1-15. [PDF]
  9. Gao, S., Rao, J., Liu, X., Kang, Y., Huang, Q., & App, J. (2019). Exploring the effectiveness of geomasking techniques for protecting the geoprivacy of Twitter users. Journal of Spatial Information Science2019(19), 105-129. [PDF]
  10. Prestby, T., App, J., Kang, Y., & Gao, S. (2019). Understanding neighborhood isolation through spatial interaction network analysis using location big data. Environment and Planning A: Economy and Space, 0308518X19891911. [PDF]
  11. Gao, S., Li, M., Liang, Y., Marks, J., Kang, Y., & Li, M. (2019). Predicting the spatiotemporal legality of on-street parking using open data and machine learning. Annals of GIS25(4), 299-312. [PDF]
  12. Liu, Z., Yang, A., Gao, M., Jiang, H., Kang, Y., Zhang, F., & Fei, T. (2019). Towards feasibility of photovoltaic road for urban traffic-solar energy estimation using street view image. Journal of Cleaner Production228, 303-318. [PDF]
  13. Peng, H., Du, Y., Liu, Z., Yi, J., Kang, Y., & Fei, T. (2019). Uncovering patterns of ties among regions within metropolitan areas using data from mobile phones and online mass media. GeoJournal84(3), 685-701. [PDF]
  14. 庄莹, 黄丽娜, 郑恒杰, 刘统硕, & 康雨豪. (2017). 二维码定位技术支持下的室内导航电子地图的设计与实现——以武汉大学图书馆为例(Design and Development of Indoor Navigation Map Based on QR Code: The Case of Wuhan University Library). 测绘通报, (5), 125-128. [PDF]

Peer-reviewed Conference Proceedings

  1. Kang, Y., Gao, S., & Liang, Y. (2018, November). Utilizing reverse viewshed analysis in image geo-localization. In Proceedings of the 2nd ACM SIGSPATIAL Workshop on Recommendations for Location-based Services and Social Networks (pp. 1-5). [PDF]
  2. Kang, Y., Zeng, X., Zhang, Z., Wang, Y., & Fei, T. (2018, March). Who are happier? Spatio-temporal Analysis of Worldwide Human Emotion Based on Geo-Crowdsourcing Faces. In 2018 Ubiquitous Positioning, Indoor Navigation and Location-Based Services (UPINLBS) (pp. 1-8). IEEE. [PDF]
  3. Kang, Y., Wang, J., Wang, Y., Angsuesser, S., & Fei, T. (2017). Mapping the Sensitivity of the Public Emotion to the Movement of Stock Market Value: A Case Study of Manhattan. International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences42. [PDF]
  4. Li, M., Gao, S., Liang, Y., Marks, J., Kang, Y., & Li, M. (2019, November). A Data-Driven Approach to Understanding and Predicting the Spatiotemporal Availability of Street Parking. In Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (pp. 536-539). [PDF]
  5. Yue, Y., Ding, J., Kang, Y., Wang, Y., Wu, K., & Fei, T. (2019, November). A location-based social network system integrating mobile augmented reality and user generated content. In Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Location-based Recommendations, Geosocial Networks and Geoadvertising (pp. 1-4). [PDF]
  6. Zhuang, Y., Kang, Y., Huang, L., & Fang, Z. (2018, March). A Geocoding Framework for Indoor Navigation based on the QR Code. In 2018 Ubiquitous Positioning, Indoor Navigation and Location-Based Services (UPINLBS) (pp. 1-4). IEEE. [PDF]

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