raster-frames (homepage)

RasterFrames brings the power of Spark DataFrames to geospatial raster data, empowered by the map algebra and tile layer operations of GeoTrellis.

@s22s / (0)

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. At its core is a user-defined type (UDF) called TileUDT, which encodes a GeoTrellis Tile in a form the Spark Catalyst engine can process. Furthermore, we extend the definition of a DataFrame to encompass some additional invariants, allowing for geospatial operations within and between RasterFrames to occur, while still maintaining necessary geo-referencing constructs.


Tags

  • 1|dataframes
  • 1|raster
  • 1|geotrellis
  • 1|imagery

How to

This package doesn't have any releases published in the Spark Packages repo, or with maven coordinates supplied. You may have to build this package from source, or it may simply be a script. To use this Spark Package, please follow the instructions in the README.

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