国际华人地理信息科学协会 (CPGIS)学术讲座系列：“地理空间大数据分析”
地理空间大数据给学术研究和地理信息行业应用带来多方面的挑战和机遇，国际华人地理信息科学协会在2022年春季组织该领域的相关专家介绍有关地理空间大数据的理论、数据、方法、工具、和实证分析应用。本CPGIS教育系列研讨会向公众免费开放。
About this event
Geospatial Big Data is an extension to the concept of Big Data with emphasis on the geospatial component and under the context of geography or geosciences. It is used to describe the phenomenon that large volumes of georeferenced data (including structured, semi-structured, and unstructured data) about various aspects of the Earth environment and society are captured by millions of environmental and human sensors in a variety of formats such as remote sensing images, crowdsourced maps, geotagged videos and photos, transportation smart card transactions, mobile phone data, location-based social media content, and GPS trajectories. Big Geo-Data is “big” not only because it involves a huge volume of georeferenced data, but also because of the high-velocity of generation streams, high dimensionality, high variety of data forms, the veracity (uncertainty) of data, and the complex interlinkages with (small) datasets that cover multiple perspectives, topics, and spatiotemporal scales.
2022 CPGIS Educational Webinar Series on Geospatial Big Data Analytics will feature the following invited speakers who will share their exciting works with the CPGIS and international GIScience communities.
(US Time)
(3/10) Dr. Xinyue Ye (叶信岳) Texas A&M University, US
(3/24) Dr. Yang Xu (徐阳) Hong Kong Polytechnic University, China
(4/07) Dr. Qian Shi (石茜) Sun Yat-sen University, China
(4/21) Dr. Mingshu Wang (王明舒) University of Glasgow, UK
(5/06) Dr. Chen Zhong (钟晨) University College London, UK
