Bio:

Dr. Wanglin Yan is a Professor at the Faculty of Environment and Information Studies, Keio University, Japan. He serves as a board member of the Geographic Information Systems Association (GISA), leads its Special Interest Group on GeoAI, and is a former president of the association. His research focuses on urban and regional sustainable development supported by geospatial cyber-physical systems. His work spans a wide range of topics, including analysis of the urban food-water-energy nexus and enhancing resilience to climate change risks and disasters through the intensive use of multimodal geospatial data. His recent interests lie in digital area design for smart city innovation and sustainable urbanization, particularly through geospatiotemporal analysis and modeling of human behavior using mobile big data.

Talk Title:

GeoAI---the Evolution from Geospatial Information to Geospatiotemporal Intelligence

Abstract:

GeoAI is an emerging interdisciplinary field at the intersection of Geographic Information Systems (GIS), Artificial Intelligence (AI), and Spatiotemporal Big Data (GBD). GIS has benefited significantly from the rapid advancement of AI, particularly through the integration of sophisticated AI algorithms into geospatial processing. This convergence presents a valuable opportunity for GIS to lead AI innovation and contribute to solving complex global challenges. This speech offers a systematic overview of this cutting-edge discipline through a comprehensive literature review, along with advanced analyses of human behavior using mobile big data in the Tokyo metropolitan region.