基于SpatialHadoop的空间大数据拓展研究

Study on the spatial big data expand the research based on SpatialHadoop

文章针对空间大数据的处理框架SpatialHadoop作了系统性的研究。鉴于其在空间大数据实际应用中所存在的无法实现图属关联以及大多数空间分析空间分析不支持的问题对其做了一定程度上的扩展,首先为SpatialHadoop的默认数据类型添加了唯一的标识,并以此为基础关联了空间对象的属性信息。其次还增加了SpatialHadoop对其他类型数据的解析功能,最后扩展了空间操作对属性信息的支持。扩展后的SpatialHadoop将基本支持现有空间数据所常用的功能。

In this paper, We explored the processing framework SpatialHadoop. In view of the fact that there are some problems existingin the practical application of spatial big data, such as graph association and most spatial analysis spatial analysis problems, it has beenextended to some extent. First a unique identifier for the default data type in SpatialHadoop and then based on the related attributeinformation of spatial objects. Then also added SpatialHadoop into other types of data, and finally extends the space operation support forattribute information. The extended SpatialHadoop will support the existing spatial data used by the function.