Interpretable spatial machine learning insights into urban sanitation challenges: A case study of human feces distribution in San Francisco

Published in Sustainable Cities and Society, 2024

Recommended citation: Yi, S., Li, X., Wang, R., Guo, Z., Dong, X., Liu, Y., & Xu, Q. (2024). Interpretable spatial machine learning insights into urban sanitation challenges: A case study of human feces distribution in San Francisco. Sustainable Cities and Society, 113, 105695.