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石坚论坛第42讲 Big data for detecting and analyzing human activities 已有1人参与
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石坚论坛第42讲 Big data for detecting and analyzing human activities(空间大数据：探测与分析人类活动) 报 告 人: Prof. Huang Bo The Chinese University of Hong Kong 报告摘要： Big data has emerged as one of the most actively researched topics in science and humanities in recent years. As type of data reflecting urban dynamics, big data has rapidly gained in popularity and shown promising potential for various applications including urban management and environmental monitoring. In particular, the increasing availability of satellite imagery, social media data and mobile phone records has generated tremendous opportunities for enriching urban application data sources, thereby fueling the development of geographical information systems (GIS). In this presentation, I will give a brief introduction of big data. Subsequently, I will discuss our recent work on using big data to detect urban structure and urban vibrancy, monitor urban environment, and estimate population-weighted air pollution exposure. Gathering the information of human movement dynamics, we hope to gain more insights into the human behavior in relation to space and time, thus facilitating the development of more informed spatial plans and designs. 报告人简介： 黄波，香港中文大学教授、太空与地球信息科学研究所副所长、教育部长江学者讲座教授。International Journal of Geographical Information Science亚太区主编 (Asia-Pacific Editor)、Elsevier三卷本GIS全书Comprehensive Geographical Information Systems主编。 主 持 人： 杜云艳 研究员 报告时间： 10月10日 上午10:00-12:00 报告地点： 中科院地理资源所2321会议室 |
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