|
21 Oct 2024
City-wide Solar Radiation Potential Analysis by Coupling Physical Modelling and Machine Learning
Xiana Chen, Junxian Yu, Wei Tu, and Long Chen
Related authors
UNCOVERING SPATIAL SYNERGY OF THE MEGACITY REGION: A FLOW PERSPECTIVE
B. Fang, W. Tu, M. Li, J. Cao, W. Gao, Y. Yue, and Q. Li
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B4-2022, 521–528, https://doi.org/10.5194/isprs-archives-XLIII-B4-2022-521-2022,https://doi.org/10.5194/isprs-archives-XLIII-B4-2022-521-2022, 2022
MACHINE LEARNING-BASED ECONOMIC DEVELOPMENT MAPPING FROM MULTI-SOURCE OPEN GEOSPATIAL DATA
R. Cao, W. Tu, J. Cai, T. Zhao, J. Xiao, J. Cao, Q. Gao, and H. Su
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-4-2022, 259–266, https://doi.org/10.5194/isprs-annals-V-4-2022-259-2022,https://doi.org/10.5194/isprs-annals-V-4-2022-259-2022, 2022
A NEW HIERARCHICAL CLUSTERING APPROACH FOR SPARSE MOBILE PHONE TRAJECTORIES
W. Wang, Z. Luan, B. He, X. Li, D. Zhang, Z. Huang, and W. Tu
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4, 697–701, https://doi.org/10.5194/isprs-archives-XLII-4-697-2018,https://doi.org/10.5194/isprs-archives-XLII-4-697-2018, 2018
REVEALING SPATIAL VARIATION AND CORRELATION OF URBAN TRAVELS FROM BIG TRAJECTORY DATA
X. Li, W. Tu, S. Shen, Y. Yue, N. Luo, and Q. Li
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W7, 53–57, https://doi.org/10.5194/isprs-archives-XLII-2-W7-53-2017,https://doi.org/10.5194/isprs-archives-XLII-2-W7-53-2017, 2017