articleApr 1, 2015Closed access
SpatialHadoop: A MapReduce framework for spatial data
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Abstract
This paper describes SpatialHadoop; a full-fledged MapReduce framework with native support for spatial data. SpatialHadoop is a comprehensive extension to Hadoop that injects spatial data awareness in each Hadoop layer, namely, the language, storage, MapReduce, and operations layers. In the language layer, SpatialHadoop adds a simple and expressive high level language for spatial data types and operations. In the storage layer, SpatialHadoop adapts traditional spatial index structures, Grid, R-tree and R+-tree, to form a two-level spatial index. SpatialHadoop enriches the MapReduce layer by two new components, SpatialFileSplitter and SpatialRecordReader, for efficient and scalable spatial data processing. In…
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Authors
2Topics & keywords
Topics
Keywords
- Computer science
- Scalability
- Layer (electronics)
- Spatial analysis
- Grid
- Data access layer
- Spatial database
- Spatial query
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