RasterFrames brings the power of Spark DataFrames to geospatial raster data. Release 0.6.0 delivers some major new features, including custom GeoTIFF and GeoTrellis Backend DataSources, and spatiotemporal filtering via GeoMesa’s Spark JTS with predicate pushdown support.
A full set of release notes may be found at this link:
Getting started and programming documentation is available at http://rasterframes.io.
Binaries are published to Maven Central.