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Published in Mathematical and Computer Modelling, 2010
Recommended citation: Zheng, L., Li, M., Wu, C., Ye, H., Ji R., Deng X., Che Y., Fu, C., and Guo, W. (2011). Development of a Smart Mobile Farming Service System. Mathematical and Computer Modelling 54 (3), 1194-1203. https://doi.org/10.1016/j.mcm.2010.11.053
Published in Information Systems Frontiers, 2014
Recommended citation: Mishra, S., Welch, T., Torrens, P., Fu, C., Zhu, H., and Knaap, E. (2015). A tool for measuring and visualizing connectivity of transit stop, route and transfer center in a multimodal transportation network. Public Transport. 7(1). 77-99. https://doi.org/10.1007/s12469-014-0091-2
Published in Information Systems Frontiers, 2018
Recommended citation: Hong, L., Fu, C., Wu, J., and Frias-Martinez, V. (2018). Insights from Online Communications for Local Government Managing Disaster Relief: the Case of Snowstorms. Information Systems Frontiers. 30(4). 387-396. https://doi.org/10.1145/3091478.3091502
Published in Computers, Environment, and Urban Systems, 2018
Recommended citation: Fu, C.*, McKenzie, G., Frias-Martinez, V., and Stewart, K. (2018). Identifying Spatiotemporal Urban Activities through Linguistic Signatures. Computers, Environment, and Urban Systems. 72. 25-37. https://doi.org/10.1016/j.compenvurbsys.2018.07.003
Published in Transportation Research Part C: Emerging Technologies, 2019
Recommended citation: Fan, J.C., Fu, C., Stewart, K., and Zhang, L. (2019). Using Big GPS Trajectory Data Analytics for Vehicle Miles Traveled Estimation. Transportation Research Part C: Emerging Technologies. 103. 298-307. https://doi.org/10.1016/j.trc.2019.04.019
Published in Transportation Research Record, 2019
Recommended citation: Nasri, A., Zhang, L., Fan, J.C., Stewart, K., Younes, H., Fu, C., and Jessberger S. (2019). Advanced Vehicle Miles Traveled Estimation Methods for Non-federal Aid System Roadways using GPS Vehicle Trajectory Data and Statistical Power Analysis. Transportation Research Record. 2673(11). 296-308. https://doi.org/10.1177/0361198119850790
Published in Remote Sensing, 2019
Recommended citation: Fu, C.*, Song, X.P., and Stewart, K. (2019). Integrating Activity-Based Geographic Information and Long-Term Remote Sensing to Characterize Urban Land Use Change. Remote Sensing. 11(24), 2965. https://doi.org/10.3390/rs11242965
Published in International Journal of Geographical Information Science, 2020
Recommended citation: Fu, C.*, Huang, H.S., and Weibel, R. (2020). Adaptive Simplification of GPS Trajectories with Geographic Context. International Journal of Geographical Information Science. 1-28. https://doi.org/10.1080/13658816.2020.1778003
Published in Remote Sensing of Environment, 2021
Recommended citation: Chen, D., Fu, C., Hall, J., Hoy, E., and Loboda, T. (2021). Spatio-temporal Patterns of Optimal Landsat Data for Burn Severity Index Calculations: Implications for High Northern Latitudes Wildfire Research. Remote Sensing of Environment. 258, 112393. https://doi.org/10.1016/j.rse.2021.112393
Published in Spatial Cognition & Computation, 2021
Recommended citation: Zhou, Z.Y., Weibel, R., Fu, C., Winter, S., and Huang, H.S. (2021) Indoor landmark selection for route communication: the influence of route-givers’ social roles and receivers’ familiarity with the environment. Spatial Cognition & Computation. https://doi.org/10.1080/13875868.2021.1959595
Published in Computers, Environment, and Urban Systems, 2022
Recommended citation: Bruehwiler, L., Fu, C.*, Huang, H.S., Longi, L., & Weibel, R. (2022) Modeling Individuals’ Car Accident Risk by Trajectory, Driving Events, and Geographical Context. Computers, Environment, and Urban Systems. https://doi.org/10.1016/j.compenvurbsys.2022.101760
Published in Geriatric Nursing, 2022
Recommended citation: Giannouli, E., Kim, E.K., Fu, C., Weibel, R., Sofios, A., Infanger, D., Protegijs, E., Rantanen, T., Huang, H.S., Schmidt-Trucksäss, A., Zeller, A., & Hinrichs, T. (2022). Psychometric Properties of the MOBITEC-GP Mobile Application for Real-Life Mobility Assessment in Older Adults. Geriatric Nursing. 48. 273-279. https://doi.org/10.1016/j.gerinurse.2022.10.017
Published in Geo-spatial Information Science, 2023
Recommended citation: Zhao, F., Dai, Z.X., Zhang, W.Y., Shan, Y.T., Fu, C.* (2023). Epidemiological-Survey-based Multidimensional Modeling for Understanding Daily Mobility during the COVID-19 Pandemic Across Urban-Rural Gradient in the Chinese Mainland. Geo-spatial Information Science. https://doi.org/10.1080/10095020.2022.2156821
Published in ISPRS International Journal of Geo-Information, 2023
Recommended citation: He, J., Fu, C., Li, X., Dong J. X. & Ren. F. (2023). What Do We Know about the Multidimensional Poverty in China: Its Causes, Dynamics, and Implications for Sustainability. ISPRS International Journal of Geo-Information. https://doi.org/10.3390/ijgi12020078
Published in Cartography and Geographic Information Science, 2023
Recommended citation: Conrow, L., Fu, C.*, Huang, H.S., Andrienko, G., Andrienko, N., & Weibel. R. (2023). A Conceptual Framework for Developing Dashboard for Big Mobility Data. Cartography and Geographic Information Science. https://doi.org/10.1080/15230406.2023.2190164
Published in ISPRS Journal of Photogrammetry and Remote Sensing, 2023
Recommended citation: Zhou, Z.Y., Fu, C., & Weibel, R. (2023) Remove and Move: Multi-Task Learning for Building Simplification of Vector Maps with Graph Convolutional Neural Network. ISPRS Journal of Photogrammetry and Remote Sensing. https://doi.org/10.1016/j.isprsjprs.2023.06.004
Published in IEEE Transactions on Intelligent Transportation Systems, 2023
Recommended citation: Neun, M., Eichenberger, C., Xin, Y.N., Fu, C., Wiedemann, N., Martin, H., Tomko, M. Ambuehl, L., Hermes, L., & Kopp, M. (2023). Metropolitan Segment Traffic Speeds from Massive Floating Car Data in 10 Cities. IEEE Transactions on Intelligent Transportation Systems. https://doi.org/10.1109/TITS.2023.3291737
Published in Renewable Energy, 2023
Recommended citation: He, J., Ren, F., Weibel, R., & Fu, C.* (2023). The effect of large scale photovoltaic-based projects on poverty reduction: Empirical evidence from China. Renewable Energy, 119294. https://doi.org/10.1016/j.renene.2023.119294
Published in Cartography and Geographic Information Science, 2023
Recommended citation: Fu, C., Zhou, Z.Y., Feng, Y., & Weibel, R. (2023). Keeping Walls Straight: Data Model and Training Set Size Matter for Deep Learning in Building Generalization. https://doi.org/10.1080/15230406.2023.2264757
Published in International Journal of Geographical Information Science, 2024
Recommended citation: Fu, C., Zhou, Z.Y., Xin, Y.N., & Weibel, R. (2024). Reasoning cartographic knowledge in deep learning-based map generalization with explainable AI. https://doi.org/10.1080/13658816.2024.2369535
Published in Nature Plants, 2024
Recommended citation: Chen, D., Fu, C., Jenkins, L.K., He, J.Y., Wang, Z.H., Jandt, R.R., Frost, G.V., Bredder, A., Berner, L.T., & Loboda, T.V. (2024). Regional fire–greening positive feedback loops in Alaskan Arctic tundra. https://doi.org/10.1038/s41477-024-01850-5
Published in International Journal of Applied Earth Observation and Geoinformation, 2024
Recommended citation: Zhou, Z.Y., Fu, C.*, & Weibel, R. (2024). SpaGAN: A spatially-aware generative adversarial network for building generalization in image maps. https://doi.org/10.1016/j.jag.2024.104236
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Organized by OGC Moving Features Standards Working Group
Published:
Master course, University of Maryland, Department of Geographical Sciences, 2016
Short course for graduate students from different deparments
Undergraduate course, University of Maryland, Department of Geographical Sciences, 2016
Master course, University of Zurich, Department of Geography, 2019
Undergraduate course, University of Zurich, Department of Geography, 2021
Master course, University of Zurich, Department of Geography, 2022
Master course, University of Zurich, Department of Geography, 2022
Co-teach with Mr. Rolf Meile, WSL, Switzerland
Master course, University of Zurich, Department of Geography, 2022
Co-teach with Mr. Rolf Meile, WSL, Switzerland
Master course, University of Zurich, Department of Geography, 2023