A cluster computing framework for processing large-scale geospatial data

Clone this repo:
  1. 6169c5c Add Scala Adapter Test for HDF data by Jia Yu · 2 weeks ago master
  2. 369b51a [SEDONA-26] Add broadcast join support (#515) by Adam Binford · 3 weeks ago
  3. a8c4289 Update Python Binder examples by Jia Yu · 3 weeks ago
  4. ae502a8 Update .asf.yaml by Jia Yu · 4 weeks ago
  5. b39312c Revert the Java Adapter test by Jia Yu · 4 weeks ago

Scala and Java build Python build Example project build

Click Binder and play the interactive Sedona Python Jupyter Notebook immediately!

Apache Sedona™(incubating) is a cluster computing system for processing large-scale spatial data. Sedona extends Apache Spark / SparkSQL with a set of out-of-the-box Spatial Resilient Distributed Datasets (SRDDs)/ SpatialSQL that efficiently load, process, and analyze large-scale spatial data across machines.

Sedona contains several modules:

NameAPIIntroduction
CoreRDDSpatialRDDs and Query Operators.
SQLSQL/DataFrameSQL interfaces for Sedona core.
VizRDD, SQL/DataFrameVisualization for Spatial RDD and DataFrame
ZeppelinApache ZeppelinPlugin for Apache Zeppelin 0.8.1+

Sedona supports several programming languages: Scala, Java, SQL, Python and R.

Compile the source code

Please refer to Sedona website

Contact

Twitter: Sedona@Twitter

Gitter chat: Gitter

Sedona JIRA: Bugs, Pull Requests, and other similar issues

Sedona Mailing Lists:

Please visit Apache Sedona website for detailed information

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