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石堅論壇42講Big data for detecting and analyzing human activities
文章來源： | 發布時間：2017-09-25 | 【打印】 【關閉】
報告題目：Big data for detecting and analyzing human activities
空間大數據：探測與分析人類活動
報 告 人: Prof. Huang Bo The Chinese University of Hong Kong
報告摘要：
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.
報告人簡介：
黃波，香港中文大學教授、太空與地球信息科學研究所副所長、教育部長江學者講座教授。International Journal of Geographical Information Science亞太區主編 (Asia-Pacific Editor)、Elsevier三卷本GIS全書Comprehensive Geographical Information Systems主編。
主 持 人： 杜云艷 研究員
報告時間： 10月10日 上午10:00-12:00
報告地點： 中科院地理資源所2321會議室
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