dataset · 2023

Tidy geospatial data cubes

Emma Marshall, Deepak Cherian, Scott Henderson

Cited by 1Open access

Abstract

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.

Cite this paper

APA 7

Marshall, E., Cherian, D., & Henderson, S. (2023). Tidy geospatial data cubes. https://doi.org/10.25080/gerudo-f2bc6f59-034

MLA 9

Marshall, Emma, et al. “Tidy geospatial data cubes.” 2023, https://doi.org/10.25080/gerudo-f2bc6f59-034.

Chicago

Marshall, Emma, Deepak Cherian, and Scott Henderson. 2023. “Tidy geospatial data cubes.” https://doi.org/10.25080/gerudo-f2bc6f59-034.

Harvard

Marshall, E., Cherian, D. and Henderson, S. (2023) ‘Tidy geospatial data cubes’. Available at: https://doi.org/10.25080/gerudo-f2bc6f59-034.

BibTeX

@misc{marshall2023tidy,
  title = {{Tidy geospatial data cubes}},
  author = {Marshall, Emma and Cherian, Deepak and Henderson, Scott},
  year = {2023},
  doi = {10.25080/gerudo-f2bc6f59-034}
}

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