0000-0002-1696-2795 About
My research interests are in GIS/RS, with a particular focus on understanding the urban dynamics, socio-spatial, and environmental disparities to develop data-driven solutions aligned with the SDGs. Through a multidisciplinary approach, my work aims to integrate geospatial technologies, big data, and machine learning to foster equitable and resilient urban environments.
Employment
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Sun Yat-sen University
Education
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Sun Yat-sen University2023 - Present
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South China Normal University2019 - 2022
Projects & Funding
Projects & funding information is unavailable.
Publications (11)
- The interplay of urban landscape and PM2.5 exposure disparities: A machine learning approach in Shandong, China Save
- Regional economy, physical environment and self-rated health among older adults in China: Evidence from XGBoost and SHAP Save
- Evolution Pattern of Urban Agglomerations Based on Bayesian Networks from the Perspective of Spatial Connection: A Case Study of Guangdong-Hong Kong-Macao Greater Bay Area, China Save
- Machine learning and SHAP-based susceptibility assessment of storm flood in rapidly urbanizing areas: a case study of Shenzhen, China Save
- Ensemble learning analysis of influencing factors on the distribution of urban flood risk points: a case study of Guangzhou, China Save
- Spatio-temporal variations of ecosystem health in the Liuxi River Basin, Guangzhou, China Save
- Spatiotemporal analysis of landscape pattern and structure in the Greater Bay Area, China Save
- Spatiotemporal Change Analysis and Prediction of Future Land Use and Land Cover Changes Using QGIS MOLUSCE Plugin and Remote Sensing Big Data: A Case Study of Linyi, China Save
- Spatiotemporal analysis of landscape pattern and structure in the Greater Bay Area, China (Mar, 10.1007/s12145-022-00782-y, 2022) Save
- The Eco-Environmental Changes in Typical Coastal Zones of Southern China From 1987 to 2020: A Case Study of Guangdong Coastal Counties Save