Guest seminar 19 Oct: Big geo-data for urbanized China: Methods and applications

The Spatial Information group of the Geomatics discipline at IE will host a guest seminar by Prof Liu, from Peking University.

Abstract

In the past forty years, China has gone through a rapid process of urbanization when the urbanization rate reached about 60%. Meanwhile, a drastic development of information and communication technologies (ICT) in China has given birth to many world-leading Internet enterprises such as Alibaba and Tencent. Various big geo-data generated by these internet giants provide unprecedented opportunities to understand the structures and observe the dynamics of Chinese cities from the perspective of human behavior. In this talk, the term social sensing is introduced as the theoretical framework of the analytical methods for multi-source big geo-data. These methods have been widely applied to sense different aspects and systems of cities, e.g., human mobility patterns, spatial structure of land uses, place sentiments, and spatial interactions. A number of case studies, at both intra-urban and inter-urban scales, are presented to substantiate the value of big geo-data. I also want to summarize the challenges of the usage of big data in urban studies.

Biography:

Dr. Yu Liu is Boya Professor of GIScience at the Institute of Remote Sensing and Geographical Information Systems, Peking University. His research interests focus on analytical methods for various big geo-data, including mobile phone data, taxi trajectories, and social media data. He has conducted 10+ research projects as PI or Co-PI granted by NSFC (National Science Foundation of China) and MOST (Ministry of Science and Technology) of China. He is currently an Associate Editor of Computers, Environment and Urban Systems.

When: Monday, 19 October 2020 at 11:00 am – 11:30 am.

Title: Big geo-data for urbanized China: Methods and applications

Speaker: Prof Yu Liu (Peking University)

Zoom link: https://unimelb.zoom.us/j/96953990259?pwd=YUN2ZWJTZWpFNlkxaklJckplcytYdz09