At the August 12, 2020 CDI Monthly Meeting, Unknown User (firstname.lastname@example.org) presented on using irregular meshes for spatial data integration.
Primary challenge: How can we structure diverse datasets in a way that enables more robust, scalable, and rapid model construction, integration, and evaluation?
Proposed approach (discussion wanted!): Use a multi-scale hierarchical data structure to represent data, for example, a quadtree mesh.
Next steps: Contact Thomas or comment here if you have additional questions, examples, or suggestions.
Slides and questions below:
All slides: 200812-trapstine.pdf
Selected slides below: