Can you explain the concept of data partitioning in parallel indexing?

Data partitioning involves dividing the radar data into smaller, manageable chunks that can be processed independently by different processing units. This parallel distribution is fundamental to the efficiency of parallel indexing. Common partitioning strategies include spatial partitioning and temporal partitioning.