- Interpretable spatial machine learning insights into urban sanitation challenges: A case study of human feces distribution in San Francisco. Dans: Sustainable Cities and Society, v. 113 (octobre 2024). (2024):
- Comparison of different spatial temperature data sources and resolutions for use in understanding intra-urban heat variation. Dans: Sustainable Cities and Society, v. 96 (septembre 2023). (2023):
- Investigating the spatial distribution of resident’s outdoor heat exposure across neighborhoods of Philadelphia, Pennsylvania using urban microclimate modeling. Dans: Sustainable Cities and Society, v. 72 (septembre 2021). (2021):
- The distribution of greenspace quantity and quality and their association with neighbourhood socioeconomic conditions in Guangzhou, China: A new approach using deep learning method and street view images. Dans: Sustainable Cities and Society, v. 66 (mars 2021). (2021):
- Mapping sky, tree, and building view factors of street canyons in a high-density urban environment. Dans: Building and Environment, v. 134 (avril 2018). (2018):