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【信息地学论坛第7期】—Modeling and understanding urban activity patterns based on crowdsourced datayabo体育app

来源:研管科编辑:陈慧楠阅读次数:903日期:2018-07-06

信息地学论坛第7期特别邀请德国海德堡大学 黄炜 博士主讲,欢迎广大师生参加,具体安排如下:

报告主题:Modeling and understanding urban activity patterns based on crowdsourced data

报告人:德国海德堡大学 黄炜 博士

报告时间:201879日(星期一)上午10:00

报告地点:创新中心5D518议室

主讲内容:

How people live, work and play within urban arears plays an essential role in designing and building a city and understanding social phenomenon. Recently, cities have become more diverse and complex than ever before, leading to a variety of urban problems. To deal with such unprecedented challenges, one key solution is to understand the mechanism of the interaction between citizens and urban environments. This talk reports some work on using machine learning and spatial data analysis to explore urban activity and mobility patterns and their influences on urban systems based on urban sensor data and geo-social media data.

报告人简介:

Wei Huang is a Postdoctoral Fellow in the GIScience Research Group at the Institute of Geography, Heidelberg University, Germany. He received his PhD degree from the Department of Civil Engineering (Geomatics stream) at Ryerson University, Toronto, Canada in 2016. His research interests lie at the intersection of GIScience, urban environments, and computational social science, focusing on using GIS, geospatial big data and new technologies to progress the understanding of the mechanism of the interaction between human activities and mobility, social events and urban systems. He has published 12 papers in peer-reviewed journals, delivered six oral presentations in internal conferences and won several awards including the U. V. Helava Award Best Paper 2016 (ISPRS Journal of Photogrammetry and Remote Sensing) and the 1st Place Doctoral Best Paper Award in the International Conference on Location-based Social Media Data, Athens, Georgia, USA, in 2015.