@article{M3A2A1287,
title = "Distributed Processing Method of Hotspot Spatial Analysis Based on Hadoop and Spark",
journal = "Journal of KIISE, JOK",
year = "2018",
issn = "2383-630X",
doi = "10.5626/JOK.2018.45.2.99",
author = "Changsoo Kim,Joosub Lee,KyuMoon Hwang,Hyojin Sung",
keywords = "Getis-Ord Gi*,spatial statistics,hotspot analysis,spatial data processing,hadoop,spark",
abstract = "One of the spatial statistical analysis, hotspot analysis is one of easy method of see spatial patterns. It is based on the concept that "Adjacent ones are more relevant than those that are far away". However, in hotspot analysis is spatial adjacency must be considered, Therefore, distributed processing is not easy. In this paper, we proposed a distributed algorithm design for hotspot spatial analysis. Its performance was compared to standalone system and Hadoop, Spark based processing. As a result, it is compare to standalone system, Performance improvement rate of Hadoop at 625.89% and Spark at 870.14%. Furthermore, performance improvement rate is high at Spark processing than Hadoop at as more large data set."
}