Geospatial Scientist · Environmental Health · Remote Sensing · GeoAI

I am a researcher working at the intersection of Geographic Information Science (GIS), spatial data science, remote sensing, environmental change, and human health.

My research focuses on developing geospatial methods and computational approaches to understand how places, environments, and environmental processes shape human and ecosystem health.

• 🌍 Health Geography
• 🛰️ Earth Observation
• 🏙️ Urban Visual Intelligence
• 🫀 Spatial Lifecourse Health
• 🌳 Spatial Statistics
• 🤖 GeoAI
• 🗺️ Spatial-Temporal Big Data

I received my Ph.D. in Earth Observation Science from the Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Netherlands. I earned a Master's and a Bachelor's degree from the Institute of Urban Environment, Chinese Academy of Sciences, University of Chinese Academy of Sciences and School of Geographical Sciences, Fujian Normal University respectively. My earlier training was in Geographical Sciences, GIS, and geospatial engineering, and my research has progressively expanded from urban and health geography toward environmental processes, remote sensing, and carbon cycling. I am particularly interested in connecting multi-source geospatial observations with process-based environmental understanding.

• Built environment and physical activity
• Walkability and bikeability
• Food environment and obesity
• Street-level environmental exposure
• Spatial lifecourse health

• Earth observatiohn
• Street View imagery
• Spatial Statistics
• GeoAI

• Soil organic carbon dynamics
• Forest carbon cycle
• Carbon dioxide mapping

Geospatial & Remote Sensing

ArcGIS · QGIS · Google Earth Engine · GDAL · Rasterio · GeoPandas

Data Science & Modeling

Python · R · PyTorch · Random Forest · Machine Learning · Spatial Statistics

Visualization & Design

Matplotlib · D3.js · Tableau · Adobe Illustrator · Adobe InDesign

Scientific Computing

Linux · Bash · Docker · LaTeX

Developing geospatial approaches to characterize the relationship between urban environments, environmental exposures, physical activity, and obesity using multi-source spatial data.

Methods: Street View Images · POI · GPS trajectories · Remote Sensing · Machine Learning · Spatial Analysis

Investigating urban environmental dynamics and sustainability through geospatial data, remote sensing, and spatial modeling, with a particular interest in how urbanization, land cover, human activities, and environmental processes interact across space and time.

Focus: Urban Carbon Cycle · Urban Environment · Remote Sensing · Land Cover · Urban Climate · Spatial Modeling · Sustainable Cities

I am interested in developing and contributing to open-source tools for GIS, spatial statistics, geospatial data science, and environmental modeling.

Contributions and collaborations include work related to:

• GeoDa Center
• rgeoda
• libgeoda
• AI 4D City
• Sustainable Cities & Mobility

Exploring places, environments, and health through geospatial data.