Spatial coding-based approach for partitioning big spatial data in Hadoop
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 oper...
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| Published in: | Computers & geosciences 2017-09, Vol.106, p.60-67 |
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| Main Authors: | , , , , , , , , |
| Format: | Article |
| Language: | English |
| Subjects: | |
| Citations: | Items that this one cites Items that cite this one |
| Online Access: | Get full text |
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