GeoAI and the future of spatial analytics
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Abstract
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.
| Publication type | Book chapter |
|---|---|
| Publication Subtype | Book Chapter |
| Title | GeoAI and the future of spatial analytics |
| DOI | 10.1007/978-981-19-3816-0_17 |
| Year Published | 2022 |
| Language | English |
| Publisher | Springer |
| Contributing office(s) | Center for Geospatial Information Science (CEGIS) |
| Description | 8 p. |
| Larger Work Type | Book |
| Larger Work Subtype | Monograph |
| Larger Work Title | New thinking in GIScience |
| First page | 151 |
| Last page | 158 |
| Google Analytic Metrics | Metrics page |