Spatial coding-based approach for partitioning big spatial data in Hadoop

Abstract

Spatial data partitioning (SDP) plays a powerful role in distributed storage and parallel computing for spatial data. However, due to skew distribution of spatial data and varying volume of spatial vector objects, it leads to a significant challenge to ensure both optimal performance of spatial operation and data balance in the cluster. To tackle this… (More)
DOI: 10.1016/j.cageo.2017.05.014

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