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At the August 12, 2020 CDI Monthly Meeting, Unknown User ( 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:

  1. How are others solving these data integration issues?
  2. Any other solution recommendations other than quadtrees?
  3. Thoughts on using quadtrees for solving these challenges?
  4. Are you using quadtrees? What packages would you recommend?

All slides: 200812-trapstine.pdf

Selected slides below:

Lombard, Melissa Ann Westenbroek, Stephen M. Aulenbach, Steven M. Hsu, Leslie

1 Comment

  1. I posted in the GIS Team and got this response from Zafer Defne: 

    I am interested in following the discussion on this. We generate irregular grids with out hydrodynamic models and it is frustrating that there is not a data structure in GIS that can plot the result in its native form.