GeoAI and the future of spatial analytics
July 1, 2022
This chapter discusses the challenges of traditional spatial analytical methods in their limited capacity to handle big and messy data, as well as mining unknown or latent patterns. It then introduces a new form of spatial analytics—geospatial artificial intelligence (GeoAI)—and describes the advantages of this new strategy in big data analytics and data-driven discovery. Finally, a convergent spatial analytical framework is suggested as a potential future pathway for spatial analysis.
Citation Information
Publication Year | 2022 |
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Title | GeoAI and the future of spatial analytics |
DOI | 10.1007/978-981-19-3816-0_17 |
Authors | Wenwen Li, Samantha Arundel |
Publication Type | Book Chapter |
Publication Subtype | Book Chapter |
Index ID | 70236535 |
Record Source | USGS Publications Warehouse |
USGS Organization | Center for Geospatial Information Science (CEGIS) |