石坚论坛第69讲: GeoAI for Urban Analytics and Mobility Prediction

报告题目:GeoAI for Urban Analytics and Mobility Prediction

时  间:2024年9月25日(星期三) 上午 10:30

地  点:中国科学院地理资源所A0214会议室

主持人:程诗奋 副研究员

报告人简介:

黄浩生,比利时根特大学地理信息科学与地图学教授,GeoAI研究中心联合主任。曾任瑞士苏黎世大学地理信息科学中心高级讲师(2016-2020),奥地利维也纳技术大学大学讲师(2014-2016)。研究方向为地理信息科学与地图学、位置服务、空间认知及GeoAI。兼任国际地图学协会(ICA)副主席,ICA位置服务专委会创会主席,Journal of Location Based Services主编,Journal of Maps 副主编,JGSA、 CaGIS、GSIS等多个国际期刊编委及客座主编。

报告简介:

Integrating geographical knowledge, concepts, and techniques into artificial intelligence (AI) offers new possibilities for reducing the amount of training data, enhancing model performance, and improving model interpretability. This interdisciplinary fusion has given rise to an emerging research field in GIScience: geospatial artificial intelligence (GeoAI). GeoAI leverages various sources of location (big) data—such as GNSS and sensor data, street view imagery, social media content, and crowdsourced geographic information—to address a wide range of geographic problems and broader challenges. In this report, I will present our team's recent research achievements in the field of GeoAI, with particular focus on its applications in urban analytics and mobility prediction.


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