Towards the next generation of Geospatial Artificial Intelligence

Geospatial Artificial Intelligence (GeoAI), as the integration of geospatial studies and AI, has become one of the fastest-developing research directions in spatial data science and geography. This rapid change in the field calls for a deeper understanding of the recent developments and envision where the field is going in the near future. In this work, we provide a quantitative analysis of the GeoAI literature from the spatial, temporal, and semantic aspects. We briefly discuss the history of AI and GeoAI by highlighting some pioneering work. Then we discuss the current landscape of GeoAI by selecting five representative subdomains including remote sensing, urban computing, Earth system science, cartography,…

• NS
  National Science Foundation

  Awards: 2425845, 2425844, 2147195, 2316305, 2239175, 2126474
• UD
  U.S. Department of Energy
• NA
  National Aeronautics and Space Administration

  Awards: 80NSSC22K1164, 80NSSC24K1061
• MR
  Microsoft Research
• JH
  Johns Hopkins University
• UO
  University of Pittsburgh
• NS
  Nuclear Safety and Security Commission
• OO
  Office of Science