.png){kind=small}
Geography Distinguished Webinar Series
Date: 08 JUL 2022 (Friday)
Time: 15:00 – 16:30 (HKT)
Venue: via Zoom
Registration link: https://hkuems1.hku.hk/hkuems/ec_hdetail.aspx?guest=Y&ueid=82356
Zoom link: link will be provided upon successful registration
Title of the talk:
Geospatial big data for urban and environmental sustainability
Urbanization increases the tension between human being and the environment as it has brought multiple problems in its wake, such as pollution and inequality. As a barometer of the pulse of real-world, geospatial big data (e.g., geotagged social media posts, GPS traces, and Google images) have shown promising potential for understanding and alleviating these problems. However, traditional geographic information science lacks effective ways of modeling human activities and thus faces enormous challenges in transforming the huge volume of data into value. In this presentation, the speaker will discuss his efforts in developing advanced spatiotemporal analytics to circumvent the challenges encountered in several applications concerning urban structure, urban vibrancy, air quality, and public health. These efforts are tied together to gain more insights into the urban environment and human behavior, thereby facilitating the development of more pertinent, human-centered strategies and solutions for smart and healthy cities.
Speaker:
Professor Bo Huang
Department of Geography and Resource Management & Institute of Space and Earth Information Science, The Chinese University of Hong Kong
Dr. Bo Huang is a Professor in the Department of Geography and Resource Management at The Chinese University of Hong Kong, where he is also the Associate Director of Institute of Space and Earth Information Science and an Outstanding Fellow of the Faculty of Social Science. His research interests cover most areas in Geographic Information Science (GIScience), specifically spatial/spatio-temporal statistics for land use/land cover change modeling, image fusion for environmental monitoring, and spatial optimization for sustainable land use and transportation planning. Notably, he devised the Geographically and Temporally Weighted Regression (GTWR) model (Huang et al., 2010), which has become a representative statistical model for big spatiotemporal data analysis and been adopted by the industry. Dr. Huang serves as an Associate Editor of International Journal of Geographical Information Science and was the Editor-in-Chief of the three-volume book “Comprehensive Geographic Information Systems” (Elsevier, 2017). As a recipient of the Chang Jiang Chair Professorship (2016) from the Ministry of Education (MoE) of China, he also won a Second-class Award in Natural Sciences for his research on spatiotemporal data analysis from the MoE in 2021 and a Gold Medal for his invention of the mobile application, PhotoAir, that measures indoor and outdoor PM2.5 concentrations from the International Exhibition of Inventions Geneva 2021.
