articleApr 1, 2015Closed access

SpatialHadoop: A MapReduce framework for spatial data

University of Minnesota

Indexed incrossref

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…

Citation impact

543
total citations
FWCI
58.84
Percentile
100%
References
39
Citations per year

Authors

2

Topics & keywords

Keywords
  • Computer science
  • Scalability
  • Layer (electronics)
  • Spatial analysis
  • Grid
  • Data access layer
  • Spatial database
  • Spatial query
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