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Geospatial AI Future Perspectives
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Author(s): Dina Darwish (Ahram Canadian University, Egypt)
Copyright: 2025
Pages: 28
Source title:
Recent Trends in Geospatial AI
Source Author(s)/Editor(s): Dina Darwish (Ahram Canadian University, Egypt)and Houssem Chemingui (Brest Business School, France & Centre de Recherche en Informatique, Panthéon Sorbonne University, France
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DOI: 10.4018/979-8-3693-8054-3.ch011
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Abstract
Geocomputation and geospatial artificial intelligence (GeoAI) play crucial roles in propelling geographic information science (GIS) and Earth observation into a new era. GeoAI has transformed conventional geospatial analysis and mapping, changing the approaches for comprehending and overseeing intricate human–natural systems. Nonetheless, challenges persist in multiple facets of geospatial applications concerning natural, built, and social environments, as well as in the integration of distinctive geospatial features into GeoAI models. At the same time, geospatial and Earth data play essential roles in geocomputation and GeoAI studies, as they can efficiently uncover geospatial patterns, factors, relationships, and decision-making processes. This chapter focuses on several topics related to geospatial AI, including advancements in this field and future perspectives of Geospatial AI.
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