Handbook of GeoAI publised

The new “Handbook of Geospatial Artificial Intelligence” edited By Drs. Song Gao (University of Wisconsin-Madison), Yingjie Hu (University at Buffalo), and Wenwen Li (Arizona State University) is now published! Dr. Michael F. Goodchild (University of California-Santa Barbara) wrote a Foreword to provide a historical context and recent advances to help the reader to understand the significant shift in the geographic sciences with AI.

This comprehensive handbook covers Geospatial Artificial Intelligence (GeoAI), which is the integration of geospatial studies and AI technologies such as machine (deep) learning and knowledge graph. It explains key fundamental concepts, methods, models, and technologies of GeoAI, and discusses the recent advances, research tools, and applications that range from environmental observation and social sensing to natural disaster responses. As the first single volume on this fast-emerging domain, the GeoAI handbook is an excellent resource for educators, students, researchers, and practitioners utilizing GeoAI in fields such as information science, environment and natural resources, geosciences, geography, and beyond!

Dr. Di Zhu is very honored to contribute the Chapter 7 "Intelligent Spatial Prediction and Interpolation Methods" in the book.