Popularity
2.0
Growing
Activity
0.0
Stable
21
9
5

Description

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.

Programming language: Scala
Latest version: v0.6.1

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README

We've moved!

RasterFrames is now an incubating project at Eclipse Foundation's LocationTech!

Unchanged community resources:

Come join the project that's working to make global-scale geospatial processing possible in data frames!

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.