AtlasAxis

Atlasaxis is a modular software framework designed for the integration and analysis of atlas-based geospatial datasets. It provides a uniform data model in which datasets are described as collections of axes—such as latitude, longitude, time, elevation, and thematic dimensions—enabling consistent cross-dataset queries and multi-source reasoning.

The architecture centers on an axis-oriented schema that records axis definitions, coordinate reference systems, and metadata. Data is stored in axis-aligned tiles or columnar formats, with an indexing engine that builds multi-dimensional indexes optimized for range queries and joins across datasets. A query planner translates user requests into index scans, while API layers expose REST and language bindings (including Python) for ingestion, querying, and visualization. A registry maintains catalog metadata and versioning, supporting dataset provenance and reproducibility.

Key features include support for multiple projections and CRSs, axis-based querying, cross-dataset joins, time and thematic dimensions, scalable indexing, and extensible metadata schemas. The framework emphasizes interoperability, with adapters for common geospatial formats and data stores. Applications span cultural heritage mapping, climate and environmental history, urban analytics, and disaster risk assessment.

The project is released under a permissive license and maintains an open-source repository with contributor guidelines, documentation, and tests. See also GIS, coordinate reference systems, spatial indexing, and multi-dimensional data stores.