Jing Yao's picture

Public Profile

First Name
Last Name
Job Title
Lecturer in Urban Big Data and Quantitative Methods
University of Glasgow
Employer/Institution (other)
Urban Big Data Centre
School of Social and Political Sciences
Other (Please specify below)
Other discipline / Specific area of work
Big Data and Quantitative Methods
Short Biography

Jing Yao is a lecturer in Urban Big Data and Quantitative Methods at the UK ESRC-funded Urban Big Data Centre. Jing’s research interests cover a wide range of areas in geographic information science, including spatial analysis, spatial statistics, spatial modeling, and spatial optimization, etc. Currently, she focuses on developing quantitative methods for spatially integrated analysis and modeling and particularly their applications in social science and health research. Also, she is interested in spatial optimization and decision making, including facility location modeling, regionalization and land use optimization.