UGOD Seminar | UGOD Seminar | Geospatial Intelligence and Urban Sustainability
Supporting the below United Nations Sustainable Development Goals:支持以下聯合國可持續發展目標：支持以下联合国可持续发展目标：
Geospatial intelligence not only enhances conventional spatial analysis and mapping capabilities but also transforms the way we understand and manage coupled natural human systems. Effectively integrating unique geospatial characteristics into modeling is key to addressing challenges across natural, built and social domains. This talk presents a series of emerging geospatial theories and methods introduces relevant open-source tools and illustrates through case studies the role of geospatial intelligence in sustainability related applications such as global resource monitoring and evaluating the impacts of urban infrastructure.
Yongze Song is an Associate Professor and Doctorial Supervisor at Curtin University, Australia, where he leads the Geospatial Intelligence Lab. He is a recipient of the Australian Young Tall Poppy Science Award, a Fellow of the Spatial Data Laboratory (SDL) at Harvard University, and a Fellow of the Royal Geographical Society, UK.
Dr. Song serves as Associate Editor for multiple top-tier international journals, including International Journal of Applied Earth Observation and Geoinformation, GIScience & Remote Sensing, and Geoscientific Model Development. He is also on the editorial boards of 17 international journals, including iScience (a Cell Press journal), and has reviewed for over 80 journals, including Nature Communications, Nature Cities, and Science Advances.
He has published over 130 articles in Q1 SCI-indexed journals, with nine recognized as ESI Highly Cited Papers. He has pioneered over 30 novel theories and methods in geospatial data analysis, including the Second-Dimension Spatial Relationship, Optimal-parameters based Geographical Detector (OPGD), Geographical Optimal Similarity, Generalized Heterogeneity Model, and Geographical Complexity. His first-author paper on the OPGD model is the most cited article in the 40+ year history of the Q1 journal GIScience & Remote Sensing.
Dr. Song is the developer of the widely used GD R package and 11 other open-source R packages for spatial analysis, which have been downloaded and applied globally over 200,000 times. He has chaired or served on the organizing committees of more than 30 international conferences and has delivered over 80 invited talks at world-leading institutions, including Harvard University, MIT, Yale University, the Australian National University, and the National University of Singapore. He has supervised more than 40 PhD students from all five continents.