Geospatial Big Data Analytics Engine for Spark
Shaohua Wang, Yang Zhong, Hao Lu, Erqi Wang, Weiying Yun, Wenwen Cai · 2017
With the rapid development of geospatial data acquisition and processing technology, the scale of spatial data is expanding. Mass production applications put forward higher requirements for the performance of geospatial data analysis. In this study, we developed a geospatial big data analytics engine based on SuperMap iObject for Java and Apache Spark. The geospatial big data analytics engine can increase the RDD representation ability of spatial data. The spatial indexing can make the spatial calculation on the nodes of the Spark cluster distributed and efficient. The experimental results show that compared with the traditional algorithm, the geospatial big data analytics engine for Spark has better execution efficiency.