A Spatial Big Data Framework for Maritime Traffic Data

摘要

In order to analysis maritime traffic data from Automatic Identification System,this paper present a big data framework based on SpatialHadoop. This framework extend the data type, storage, computing and operation layer of traditional Hadoop to incorporate maritime location data. In storage layer, it introduce a two-layer spatial index structure which can establish R-tree or R+-tree spatial index on Hadoop Distributed File System(HDFS) storage. And it add two new components in Mapreduce programming,which make it fitful for parallel computing on maritime spatial data. Based on these function provided, we can build up various spatial analysis operation on big maritime location data, and support various spatial statistical or spatial data mining applications.