Urban Geoinformatics

Urban Geoinformatics
Trajectory simplification adaptive to the geographical context (i.e., the layout of POIs)
Cities as embedding vectors
New residential vs. non-residential in Washington D.C. metropolitan between 1986-2008

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

Geographic Information Systems

Group leader

Dr. Cheng Fu

Group members

Jing He (visiting PhD student)
Changyu Han (prospective PhD student starting from February 2022)

Belongs to the organizational unit

Geographic Information Systems