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Geospatial Intelligence, Artificial Intelligence and Bayesian Inference for Biodiversity and Sustainability in Atlantic Island
GeoAtlant-AI&BI is a 36-month project focused on the development of an integrated geospatial data platform for Atlantic Islands, using the Azores as a pilot region. The project combines geospatial data, Artificial Intelligence and Bayesian inference to support predictive modelling, biodiversity conservation, land management, sustainable tourism and evidence-based decision-making.
Project at a glance
Geospatial Data
Integration and organization of spatial information on land use, biodiversity, habitats, protected areas, climate, tourism and landscape.
Artificial Intelligence
Use of machine learning and advanced analytical methods to identify spatial patterns, support modelling and improve environmental analysis.
Bayesian Inference
Application of probabilistic approaches to incorporate uncertainty and strengthen ecological, spatial and decision-support models.
Atlantic Islands
A project focused on island systems, using the Azores as a pilot region for methods that may be relevant across Atlantic island contexts.
Data collection
Data collection
Geospatial analysis
Geospatial analysis
AI & Bayesian modelling
AI & Bayesian modelling
Biodiversity knowledge
Biodiversity knowledge
Decision support
Decision support
The project aims to transform dispersed geospatial information into structured, accessible and useful knowledge for researchers, policymakers, public authorities, private entities, conservation organizations, tourism operators and local communities.
Main application areas
Land management
Biodiversity conservation
Invasive species
Ecotourism and viewpoints
Game bird and nesting bird species
Priority terrestrial and marine habitats
AI & Bayesian inference capacity building
Atlantic data analysis cluster
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