Package org.apache.sedona.core.spatialPartitioning

Interface Summary

Interface	Description
KDB.Visitor

Class Summary

Class	Description
BroadcastedSpatialPartitioner	The SpatialPartitioner may contain a large number of grids, which may make the serialized tasks to be larger than 1MB and trigger a warning: "WARN DAGScheduler: Broadcasting large task binary with size XXXX KB".
EqualPartitioning	The Class EqualPartitioning.
FlatGridPartitioner	The FlatGridPartitioner is used when there is already a set of grids which the data should be partitioned into.
GenericUniquePartitioner
HilbertPartitioning
IndexedGridPartitioner	The IndexedGridPartitioner is used when there is already a set of grids which the data should be partitioned into.
KDB	see https://en.wikipedia.org/wiki/K-D-B-tree
KDBTreePartitioner
PartitioningUtils
QuadTreePartitioner
QuadtreePartitioning
QuadTreeRTPartitioner	This class implements spatial partitioner based on the principles outlined in:
QuadTreeRTPartitioning	The class is used to build an R-tree over a random sample of another dataset and uses distance bounds to ensure efficient local kNN joins.
RtreePartitioning	The Class RtreePartitioning.
SpatialPartitioner
VoronoiPartitioning	The Class VoronoiPartitioning.