This book delivers a comprehensive guide to spatial data mining—where Geomatics meets artificial intelligence and computer science. Spatial data is at the heart of today’s big data revolution, offering unprecedented opportunities for addressing environmental and societal challenges. With decades of pioneering research, the authors present cutting-edge methods for unlocking the hidden value within vast datasets.

This book introduces innovative concepts like data fields, the cloud model, and a spatial data mining pyramid that visually illustrates the mining mechanism. Key algorithms, such as hierarchical clustering with data fields and the cloud model, provide practical tools for geospatial data analysis. Through real-world applications, including landslide monitoring, spatio-temporal video mining, and risk map inference, the text demonstrates how spatial data can be harnessed to solve complex problems in remote sensing and GIS data mining.

Designed for researchers and students in spatio-temporal intelligence, data science, artificial intelligence, and computer science, this book blends theory with practical insights. Readers gain a deeper understanding of spatial data mining techniques, while benefiting from the authors’ interdisciplinary approach. With its novel theories and real-world case studies, this resource is essential for anyone looking to advance their knowledge in this rapidly evolving field.

Li Deren is a renowned expert in photogrammetry and remote sensing, dedicated to advancing surveying, mapping, and earth observation in China. He is a member of the Chinese Academy of Sciences, the Chinese Academy of Engineering, and the Euro-Asia International Academy of Science. Prof. Li Deren has made significant contributions to global high-precision satellite positioning and mapping, solving key challenges in the processing of remote sensing satellite images. He led the development of an automated, high-precision aerial and ground measurement system, playing a pivotal role in building China’s high-precision Earth observation system. In 2023, he was honored with the National Highest Science and Technology Award, the most prestigious accolade in the China’ scientific community. 

Wang Shuliang is a distinguished professor at Beijing Institute of Technology and the executive dean of the Institute of Electronic Government. He is a national leading talent in science and technology, and a fellow of Chinese Institute of Command and Control.  His research focuses on data mining and social intelligence governance, with notable contributions to digital government and public safety. Prof. Wang Shuliang has presented at the United Nations and received numerous awards, including the First Prize of National Science and Technology Progress Award, the National Excellent Doctoral Dissertation, and IEEE GrC Outstanding Contribution Award.

Li Deyi is a leading expert in command, control, and artificial intelligence and a member of the Chinese Academy of Engineering and the Euro-Asia International Academy of Science. He serves as the honorary chairman of both Chinese  Institute  of  Command  and  Control and Chinese Associations for Artificial Intelligence. Prof. Li Deyi has pioneered advancements in cognitive models, intelligent control, data mining, unmanned driving. His achievements earned him the Lifetime Achievement Award from the Chinese Society of Command and Control in 2018, and in 2021, he was awarded the Wu Wenjun Artificial Intelligence Highest Achievement Award, the top honor in China’s intelligent technology field.