Published August 7, 2023
| Version v1
Presentation
Open
Tidy geospatial data cubes
- 1. University of Utah
- 2. National Center for Atmospheric Research
- 3. University of Washington
Description
Borrowing from the tidy data principles developed for tabular datasets [Wickham, 2014](https://vita.had.co.nz/papers/tidy-data.pdf), this presentation imagines 'tidy' principles for n-dimensional array data represented by Xarray objects with a specific focus on geospatial datasets.
Files
slides_tidy_geospatial_datacubes.pdf
Files
(2.8 MB)
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