GeoAI and GeoLLM for Local and Regional Sustainability: Advanced GIS and Spatial Analysis for Evidence-Based Decision Support
A special issue of Sustainability (ISSN 2071-1050).
Deadline for manuscript submissions: 31 March 2027 | Viewed by 155
Special Issue Editor
Interests: GeoAI; GeoLLM; spatial data infrastructures; geospatial interoperability; earth observation for sustainability; digital twins; semantic integration; spatial decision support for agriculture, forestry, climate adaptation and regional development
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Recent progress in geospatial artificial intelligence (GeoAI) and geospatially grounded large language models (GeoLLMs) is opening new possibilities for place-based sustainability governance. These approaches make it possible to integrate Earth observation, sensor observations, spatial databases, semantic models, and planning data into analytical workflows and human-centred decision support. This Special Issue focuses on methodological and applied advances showing how GeoAI and GeoLLM can support local and regional sustainability in areas such as land-use planning, climate adaptation, agriculture, forestry, biodiversity, disaster resilience, and public-sector service design.
(1) The focus of the Special Issue is on methods, infrastructures, and applications that transform geospatial data into actionable intelligence for sustainability-oriented local and regional governance. The scope includes GeoAI, GeoLLM, spatial analysis, semantic geospatial infrastructures, digital twins, natural-language interfaces to GIS, and explainable AI.
(2) This Issue will usefully supplement existing literature by explicitly linking advanced geospatial AI methods with territorial governance and sustainability transitions, with an emphasis on actionable solutions for municipalities, regions, living labs, and public authorities.
Dr. Karel Charvat
Guest Editor
Manuscript Submission Information
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Keywords
- GeoAI
- GeoLLM
- sustainable GIS
- spatial analysis
- local sustainability
- regional sustainability
- earth observation
- spatial decision support
- digital twins
- explainable AI
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