Popularity
1.8
Growing
Activity
0.0
Declining
22
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

raster-frames alternatives and similar packages

Based on the "Big Data" category

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