A k.LAB plugin component that provides adapters supporting geospatial data sources and protocols, including WCS, WFS, STAC and others, along with many geospatial algorithms.
The plugin adds the functionalities of the Horton Machine to k.LAB in the form of spatial contextualizers.
This component is part of the k.LAB services ecosystem. It is available on Maven Central and should be installed into a k.LAB Resources service using the import schema for Maven components.
mvn clean installmvn testThis project is licensed under the GNU Affero General Public License (AGPL) version 3.0. See the license text for details.
- Ferdinando Villa - Lead Developer
- Email: ferdinando.villa@bc3research.org
- Organization: Basque Centre for Climate Change (BC3); IKERBASQUE
- Iñigo Cobian - Lead Developer
- Email: inigo.cobian@bc3research.org
- Organization: Basque Centre for Climate Change (BC3)
Integrated Modelling Partnership
Website: integratedmodelling.org
- Source Code: GitHub Repository
- Issue Tracking: Use GitHub Issues for bug reports and feature requests
For questions, issues, or contributions, please visit the k.LAB community resources or create an issue in the GitHub repository.
This component is part of the k.LAB semantic modeling platform for integrated assessment and environmental modeling.