The underlying purpose of RasterFrames is to allow data scientists and software developers to process and analyze geospatial-temporal raster data with the same flexibility and ease as any other Spark Catalyst data type.
raster-frames alternatives and similar packages
Based on the "Big Data" category
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Do you think we are missing an alternative of raster-frames or a related project?
RasterFrames is now an incubating project at Eclipse Foundation's LocationTech!
- New GitHub repository: https://github.com/locationtech/rasterframes
- LocationTech Project Page: https://projects.eclipse.org/projects/locationtech.rasterframes
Unchanged community resources:
Come join the project that's working to make global-scale geospatial processing possible in data frames!
Copyright and License
RasterFrames is released under the Apache 2.0 License, copyright Astraea, Inc. 2017-2018.
*Note that all licence references and agreements mentioned in the raster-frames README section above are relevant to that project's source code only.