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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.
- 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
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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