讲座题目：A Visual Analytics Framework for Comparative Urban Trajectory Analysis
主讲人：叶信岳 教授
主持人：余柏蒗 教授
开始时间：2017年9月27日 14:00
讲座地址：闵行校区地理科学学院（资环楼）354室
主办单位：地理科学学院、地理信息科学教育部重点实验室
报告人简介：
叶信岳博士，国际华人地理信息科学协会主席，美国肯特州立大学计算社会科学实验室创始主任，地理系副教授/博士生导师，计算机系与数字科学学院兼职教授，曾任美国地理学会区域发展与规划委员会主席与地理信息科学委员会秘书长。他的研究核心是空间计量经济学和城市大数据。主编16个英文国际学术期刊专辑，发表约100篇SSCI/SCI论文。叶信岳教授的研究曾获得诸多国际奖项，如Esri地理信息科学奖，全美地理信息科学论文奖，美国国家科学基金博士研究奖。他是美国高校经济发展学会研究分析奖得主和美国地理学会区域发展与规划学术青年奖得主，过去四年连续获得四项美国国家科学基金研究时空网络与城市计算。
报告内容：
Despite rich and growing list of empirical literature of urban trajectory, comparative analysis within and between trajectories remains largely unexplored. It is fascinating to detect a list of differences and similarities across various scales and dimensions between and within multiple trajectories. In other words, many cases studies and good practices exist, but a systematical comparison toolkit is missing. The multiple dimensions and scales of urban dynamics pose numerous challenges for the application and evaluation of public policies in the comparative context. At the same time, urban researchers have been slow to adopt and implement new spatiotemporally explicit methods of data analysis due to the lack of extensible software packages, which becomes a major impediment to the promotion of spatiotemporal thinking. The proposed framework will address this need by developing a set of research questions based on space-time-distributional features of Urban Trajectory datasets. The authors aim to develop, evaluate, and implement this framework in an open source toolkit to comprehensively quantify the changes and level of hidden variation of Urban Trajectory across scales and dimensions. Free access to the source code allows a broader community to incorporate additional advances in perspectives and methods, thus facilitating interdisciplinary collaboration.
主讲人：叶信岳 教授
主持人：余柏蒗 教授
开始时间：2017年9月27日 14:00
讲座地址：闵行校区地理科学学院（资环楼）354室
主办单位：地理科学学院、地理信息科学教育部重点实验室
报告人简介：
叶信岳博士，国际华人地理信息科学协会主席，美国肯特州立大学计算社会科学实验室创始主任，地理系副教授/博士生导师，计算机系与数字科学学院兼职教授，曾任美国地理学会区域发展与规划委员会主席与地理信息科学委员会秘书长。他的研究核心是空间计量经济学和城市大数据。主编16个英文国际学术期刊专辑，发表约100篇SSCI/SCI论文。叶信岳教授的研究曾获得诸多国际奖项，如Esri地理信息科学奖，全美地理信息科学论文奖，美国国家科学基金博士研究奖。他是美国高校经济发展学会研究分析奖得主和美国地理学会区域发展与规划学术青年奖得主，过去四年连续获得四项美国国家科学基金研究时空网络与城市计算。
报告内容：
Despite rich and growing list of empirical literature of urban trajectory, comparative analysis within and between trajectories remains largely unexplored. It is fascinating to detect a list of differences and similarities across various scales and dimensions between and within multiple trajectories. In other words, many cases studies and good practices exist, but a systematical comparison toolkit is missing. The multiple dimensions and scales of urban dynamics pose numerous challenges for the application and evaluation of public policies in the comparative context. At the same time, urban researchers have been slow to adopt and implement new spatiotemporally explicit methods of data analysis due to the lack of extensible software packages, which becomes a major impediment to the promotion of spatiotemporal thinking. The proposed framework will address this need by developing a set of research questions based on space-time-distributional features of Urban Trajectory datasets. The authors aim to develop, evaluate, and implement this framework in an open source toolkit to comprehensively quantify the changes and level of hidden variation of Urban Trajectory across scales and dimensions. Free access to the source code allows a broader community to incorporate additional advances in perspectives and methods, thus facilitating interdisciplinary collaboration.