GAIA
GAIA (Geospatial AI Analytics) is a platform designed for geospatial data assimilation and management, supporting our spatial analyses across environmental, energy, and urban applications.
GAIA provides tools for transforming, combining, and documenting users' geospatial data, allowing users to easily integrate and analyze diverse datasets.
The platform utilizes interpolation techniques to handle spatial transformations, missing data, and data quality issues.
GAIA features visualization tools and interactive mapping interfaces to support rapid experimentation and analysis.
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Explore related demos
Try interactive public demos that bring these ideas to life.
- Public demo
3D Geo Modeling
View wells, terrain, and subsurface context in an interactive 3D scene.
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Spatial Feature Extraction
Discover spatial patterns, clusters, and hidden features in 2D and 3D data.
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Data Imputation
See how missing geothermal measurements can be estimated and reviewed.
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Related presentations
- GAIA: Cloud Framework for Geospatial Artificial Intelligence Analyses (2025) — T. Kliphuis, V.V. Vesselinov — HydroML 2025, University of California, Irvine