Artificial intelligence and machine learning-powered GIS for proactive disaster resilience in a changing climate
Climate change has significantly increased the frequency and severity of disasters, highlighting the limitations of existing disaster response mechanisms. To address these gaps, this study investigates the potential of integrating artificial intelligence (AI) and machine learning (ML) with Geographi...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-04-01
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| Series: | Annals of GIS |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/19475683.2025.2473596 |
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