Urban Geoinformatics
Our research acts as bridging studies connecting physical and social domains. Our main research interest is to model urban place functions with heterogeneous big geographical data such as citizen science data and remotely sensed imagery by applying different machine learning/GeoAI methods. In turn, we also explore how the spatial organization of the place functions shapes people’s daily behavior patterns.
Further information
Group leader
Group members
Jing He (visiting PhD student)
Changyu Han (prospective PhD student starting from February 2022)