To advance this vision, we highlight the potential

The gap

Evidence profile

Stated in the abstract and conclusions and future work and cells future research sections of the source papers, classified as general, spanning 3 journals.

Supporting evidence — 4 representative gaps

• Controlled environment agriculture as urban infrastructure: advancing a public agenda for spatial equity (2026) · Urban Informatics · doi

  To advance this vision, we highlight the potential of Geospatial Artificial Intelligence (GeoAI) and High-Performance Computing (HPC) as underexplored tools to enable adaptive crop management, site-specific decision support, and identify underserved communities for targeted interventions.

  generalstated in abstractevidence 5/5
  Keywords: advance vision highlight potential geospatial artificial intelligence geoai high performance computing underexplored tools enable adaptive
• The Use of Geospatial Artificial Intelligence Technologies (GeoAI) within National Mapping Agencies: A Review (2026) · The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences · doi

  For national mapping agencies, the implementation of GeoAI is not limited to the separate technological, regulatory, ethical or development of digital capacity aspects, but involves the establishment of a global and integrated vision combining these different aspects to strengthen a sustainable and thoughtful digital sovereignty.

  generalstated in conclusionsevidence 5/5
  Keywords: digital aspects national mapping agencies implementation geoai limited separate technological regulatory ethical development capacity involves
• GeoAI: Applications, Challenges and Future Prospects in Geography (2026) · Zenodo (CERN European Organization for Nuclear Research) · doi

  for collaboration and careful application. The future of GeoAI is closely related to developments in technology and data availability. The convergence of AI and connected devices, drones, and cloud computing will facilitate real- time data processing and analysis that would increase transparency and confidence in the AI models, making them more applicable to decision-making. In this way, Geography’s future is orienting towards being more pragmatic, directed by technology, and connected to ‘real- world’ problems. It is no longer merely about learning maps or mountain shapes; Geography is now informing us and supporting us to deal better with troublesome issues like climate change, urbanization, or natural calamities. Using AI and Google Earth Engine, geographers can investigate the globe ‘live’ and can make better estimates of the situations. This will make planning and control

  generalstated in future workevidence 5/5
  Keywords: future technology connected real making geography better make collaboration careful application geoai closely related developments
• The Use of Geospatial Artificial Intelligence Technologies (GeoAI) within National Mapping Agencies: A Review (2026) · The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences · doi

  Future research should focus on addressing the technical and ethical constraints of GeoAI solutions. - The development of more efficient and effective GeoAI models is necessary to improve the automation of mapping workflows. - Further research is needed to evaluate the potential of GeoAI for change detection, 3D point cloud classification, and standardization of geographical names.

  generalstated in cells future researchevidence 4/5
  Keywords: future research focus addressing technical ethical constraints geoai

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