Cite
Spatial Prediction of Landslide Susceptibility Using Logistic Regression (LR), Functional Trees (FTs), and Random Subspace Functional Trees (RSFTs) for Pengyang County, China
MLA
Hui Shang, et al. “Spatial Prediction of Landslide Susceptibility Using Logistic Regression (LR), Functional Trees (FTs), and Random Subspace Functional Trees (RSFTs) for Pengyang County, China.” Remote Sensing, vol. 15, no. 20, Oct. 2023, p. 4952. EBSCOhost, https://doi.org/10.3390/rs15204952.
APA
Hui Shang, Lixiang Su, Wei Chen, Paraskevas Tsangaratos, Ioanna Ilia, Sihang Liu, Shaobo Cui, & Zhao Duan. (2023). Spatial Prediction of Landslide Susceptibility Using Logistic Regression (LR), Functional Trees (FTs), and Random Subspace Functional Trees (RSFTs) for Pengyang County, China. Remote Sensing, 15(20), 4952. https://doi.org/10.3390/rs15204952
Chicago
Hui Shang, Lixiang Su, Wei Chen, Paraskevas Tsangaratos, Ioanna Ilia, Sihang Liu, Shaobo Cui, and Zhao Duan. 2023. “Spatial Prediction of Landslide Susceptibility Using Logistic Regression (LR), Functional Trees (FTs), and Random Subspace Functional Trees (RSFTs) for Pengyang County, China.” Remote Sensing 15 (20): 4952. doi:10.3390/rs15204952.