Advanced Geographic Information Systems

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W1

• Yuan, Y., Lu, Y., Chow, T. E., Ye, C., Alyaqout, A., & Liu, Y. (2021). The missing parts from social media-enabled smart cities: who, where, when, and what?. Smart Spaces and Places (pp. 130-142). Routledge. https://doi.org/10.1080/24694452.2019.1631144
• Yuan, Y., & Raubal, M. (2016). Exploring Georeferenced Mobile Phone Datasets–A Survey and Reference Framework. Geography Compass, 10(6), 239-252. https://doi.org/10.1111/gec3.12269
• Zhao, Z., Shaw, S. L., Xu, Y., Lu, F., Chen, J., & Yin, L. (2016). Understanding the bias of call detail records in human mobility research. International Journal of Geographical Information Science, 30(9), 1738-1762. https://doi.org/10.1080/13658816.2015.1137298

 

W3

• Wang, X., & Yuan, Y. (2021). Modeling user activity space from location-based social media: A case study of Weibo. The Professional Geographer, 73(1), 96-114. https://doi.org/10.1080/00330124.2020.1803090
• Xu, Y., Shaw, S. L., Zhao, Z., Yin, L., Lu, F., Chen, J., Fang, Z., & Li, Q. (2018). Another tale of two cities: Understanding human activity space using actively tracked cellphone location data. Geographies of mobility (pp. 246-258). Routledge. https://doi.org/10.1080/00045608.2015.1120147

 

W4

• Toohey, K., & Duckham, M. (2015). Trajectory similarity measures. Sigspatial Special, 7(1), 43-50. https://doi.org/10.1145/2782759.2782767
• Yuan, Y., & Raubal, M. (2014). Measuring similarity of mobile phone user trajectories–a Spatio-temporal Edit Distance method. International Journal of Geographical Information Science, 28(3), 496-520. https://doi.org/10.1080/13658816.2013.854369

 

W5

• Liu, Y., Liu, X., Gao, S., Gong, L., Kang, C., Zhi, Y., Chi, G., & Shi, L. (2015). Social sensing: A new approach to understanding our socioeconomic environments. Annals of the Association of American Geographers, 105(3), 512-530. https://doi.org/10.1080/00045608.2015.1018773
• Yuan, Y., & Raubal, M. (2012). Extracting dynamic urban mobility patterns from mobile phone data. Geographic Information Science: 7th International Conference, GIScience 2012, Columbus, OH, USA, September 18-21, 2012. Proceedings 7 (pp. 354-367). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-33024-7_26

 

W6

• Gao, S., Liu, Y., Wang, Y., & Ma, X. (2013). Discovering spatial interaction communities from mobile phone data. Transactions in GIS, 17(3), 463-481. https://doi.org/10.1111/tgis.12042
• Lansley, G., & Longley, P. A. (2016). The geography of Twitter topics in London. Computers, Environment and Urban Systems, 58, 85-96. https://doi.org/10.1016/j.compenvurbsys.2016.04.00

 

W8

• Yuan, Y., & Medel, M. (2016). Characterizing international travel behavior from geotagged photos: A case study of flickr. PloS one, 11(5), e0154885. https://doi.org/10.1371/journal.pone.0154885
• Yuan, Y., Liu, Y., & Wei, G. (2017). Exploring inter-country connection in mass media: A case study of China. Computers, Environment and Urban Systems, 62, 86-96. https://doi.org/10.1016/j.compenvurbsys.2016.10.012