Deepak Cherian, Scott Henderson, & Emma Marshall - Tidy Geospatial Cubes | SciPy 2023

Join experts as they explore Tidy Geospatial Cubes, applying array data tidying principles to satellite imagery datasets with a focus on metadata and community-driven frameworks.

Key takeaways

The talk discusses the concept of “Tidy Geospatial Cubes” and its application to array data
The presentation uses examples of satellite imagery datasets to illustrate the importance of tidying data for analysis
The speakers introduce the concept of x-ray and its role in structuring data cubes
The talk highlights the challenges of working with large, complex geospatial datasets and the need for a standardized framework for tidying data
The speakers emphasize the importance of metadata and its role in describing the structure of a dataset
Tidy principles for array data could look like, including:
- Each variable forms a column
- Each observation forms a row
- Each type of observational unit forms a table
The talk introduces the concept of CF conventions for ancillary data and coordinate types
The speakers discuss the need for a community-driven framework for tidying data and invite feedback and contributions from users
The presentation concludes by emphasizing the importance of collaboration and community knowledge in developing a standardized framework for tidying data

Deepak Cherian, Scott Henderson, & Emma Marshall - Tidy Geospatial Cubes | SciPy 2023

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